RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/26/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
GoldenGate Service is a new multi-tenant, cloud native service for real-time data integration and replication in heterogeneous IT environments. GoldenGate enables users to replicate and integrate data from different sources, including operational and analytics data, as well as real-time data streaming such as Apache Kafka. This service is expected to scale across thousands of tenants and enable transactional change data capture, data replication, transformations between systems. This cost effective data replication solution is engineered for highest performance and availability to run variety of data integration uses cases of the customers. This is a global team with locations in US, Hungary, Mexico and Oracle's India Development Centre (IDC) Bangalore. Our team owns the reliability, availability, operational excellence, and customer experience of these services. We work closely with software development, cloud infrastructure, and customer-facing teams to ensure our services remain secure, resilient, and highly available as adoption continues to grow across commercial and sovereign cloud environments.There is a high degree of autonomy required in this role and we are looking for engineers who want to help drive our roadmap. This role offers the opportunity to solve complex distributed systems challenges, influence service reliability at scale, and contribute to cloud services used by enterprise customers around the world. The ideal candidate will be technically strong and get a lot done. Automation is a core tenet for everything you do. You've made life easier and have motivated your team to make both process and service improvements. Candidates should have broad working knowledge across multiple domains, but we love to see specialization as well. The basics we expect are: Networking, Linux Systems Engineering, Software Engineering/Automation, and Distributed Systems. Learn more about OCI GoldenGate. Experience/Qualifications: This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. 7+ years production engineering experience (distributed services or cloud platform experience preferred) Proven experience with automation and strong experience in a scripting language (bash, python, etc) Solid understanding of Software Engineering and Computer Science principles Solid foundation in Linux Systems Engineering Solid understanding of Networking, Security and Storage Experience with Docker Understanding Infrastructure as Code concept Experience with Terraform and/or Ansible Experience in building fully automated CI/CD pipelines (Jenkins, Hudson, TeamCity, etc) Be able to understand and formulate meaningful KPIs and business metrics Experience in building/managing/operating cloud services at one of the big cloud providers (AWS, Azure, GPC or OCI) is a big plus Responsibilities What You'll Do As a Principal Site Reliability Engineer, you will be responsible for the operational health, reliability, and continuous improvement of OCI GoldenGate and OCI Database Migration Service. You will: Operate and support production cloud services that power critical customer migration and data replication workloads. Monitor service health, investigate incidents, and lead troubleshooting efforts for complex production issues. Participate in incident response, root cause analysis, and post-incident reviews while driving corrective and preventative actions. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Partner with software development teams to improve service architecture, reliability, scalability, and operational readiness. Design and implement automation to reduce operational overhead and improve service efficiency. Build and maintain observability solutions, including monitoring, alerting, logging, dashboards, and operational metrics. Contribute to capacity planning, performance analysis, disaster recovery readiness, and service resilience initiatives. Support services operating across Oracle Cloud commercial and sovereign cloud environments. Leverage Infrastructure-as-Code and CI/CD practices to improve deployment consistency, scalability, and operational efficiency. Drive continuous service improvement through operational reviews, reliability initiatives, and engineering best practices. This role provides the opportunity to work on large-scale distributed systems supporting enterprise customers worldwide, helping shape the future of Oracle's cloud-native data movement platform. This role requires Professional curiosity and a desire to a develop deep understanding of services and technologies. What We Offer The opportunity to work on cloud services that support enterprise customers at global scale. Exposure to complex distributed systems, cloud-native technologies, and large-scale operational challenges. A collaborative environment where reliability, automation, and engineering excellence are core priorities. Opportunities to influence service architecture, operational strategy, and platform evolution. Career growth through ownership, technical leadership, and collaboration with world-class engineering teams. Competitive compensation, comprehensive benefits, and flexible work arrangements. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law . click apply for full job details
09/26/2026
Full time
GoldenGate Service is a new multi-tenant, cloud native service for real-time data integration and replication in heterogeneous IT environments. GoldenGate enables users to replicate and integrate data from different sources, including operational and analytics data, as well as real-time data streaming such as Apache Kafka. This service is expected to scale across thousands of tenants and enable transactional change data capture, data replication, transformations between systems. This cost effective data replication solution is engineered for highest performance and availability to run variety of data integration uses cases of the customers. This is a global team with locations in US, Hungary, Mexico and Oracle's India Development Centre (IDC) Bangalore. Our team owns the reliability, availability, operational excellence, and customer experience of these services. We work closely with software development, cloud infrastructure, and customer-facing teams to ensure our services remain secure, resilient, and highly available as adoption continues to grow across commercial and sovereign cloud environments.There is a high degree of autonomy required in this role and we are looking for engineers who want to help drive our roadmap. This role offers the opportunity to solve complex distributed systems challenges, influence service reliability at scale, and contribute to cloud services used by enterprise customers around the world. The ideal candidate will be technically strong and get a lot done. Automation is a core tenet for everything you do. You've made life easier and have motivated your team to make both process and service improvements. Candidates should have broad working knowledge across multiple domains, but we love to see specialization as well. The basics we expect are: Networking, Linux Systems Engineering, Software Engineering/Automation, and Distributed Systems. Learn more about OCI GoldenGate. Experience/Qualifications: This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. 7+ years production engineering experience (distributed services or cloud platform experience preferred) Proven experience with automation and strong experience in a scripting language (bash, python, etc) Solid understanding of Software Engineering and Computer Science principles Solid foundation in Linux Systems Engineering Solid understanding of Networking, Security and Storage Experience with Docker Understanding Infrastructure as Code concept Experience with Terraform and/or Ansible Experience in building fully automated CI/CD pipelines (Jenkins, Hudson, TeamCity, etc) Be able to understand and formulate meaningful KPIs and business metrics Experience in building/managing/operating cloud services at one of the big cloud providers (AWS, Azure, GPC or OCI) is a big plus Responsibilities What You'll Do As a Principal Site Reliability Engineer, you will be responsible for the operational health, reliability, and continuous improvement of OCI GoldenGate and OCI Database Migration Service. You will: Operate and support production cloud services that power critical customer migration and data replication workloads. Monitor service health, investigate incidents, and lead troubleshooting efforts for complex production issues. Participate in incident response, root cause analysis, and post-incident reviews while driving corrective and preventative actions. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Partner with software development teams to improve service architecture, reliability, scalability, and operational readiness. Design and implement automation to reduce operational overhead and improve service efficiency. Build and maintain observability solutions, including monitoring, alerting, logging, dashboards, and operational metrics. Contribute to capacity planning, performance analysis, disaster recovery readiness, and service resilience initiatives. Support services operating across Oracle Cloud commercial and sovereign cloud environments. Leverage Infrastructure-as-Code and CI/CD practices to improve deployment consistency, scalability, and operational efficiency. Drive continuous service improvement through operational reviews, reliability initiatives, and engineering best practices. This role provides the opportunity to work on large-scale distributed systems supporting enterprise customers worldwide, helping shape the future of Oracle's cloud-native data movement platform. This role requires Professional curiosity and a desire to a develop deep understanding of services and technologies. What We Offer The opportunity to work on cloud services that support enterprise customers at global scale. Exposure to complex distributed systems, cloud-native technologies, and large-scale operational challenges. A collaborative environment where reliability, automation, and engineering excellence are core priorities. Opportunities to influence service architecture, operational strategy, and platform evolution. Career growth through ownership, technical leadership, and collaboration with world-class engineering teams. Competitive compensation, comprehensive benefits, and flexible work arrangements. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law . click apply for full job details
Leidos has an exciting opportunity for a Data Engineer in our Intel Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary We are seeking an experienced Data Engineer to execute the design, development and administration of an enterprise-scale Next Generation Correlation/Entity Resolution platform. This position supports a mission-critical system that serves as a foundational data exploitation capability servicing multiple applications/use cases. The ideal candidate will possess deep expertise in master data management, probabilistic matching algorithms and entity resolution, with the technical architecture skills required to optimize match performance at scale. This role supports technical planning, design, development, integration, and verification and validation. This role refines customer roadmaps, enterprise epics, and strategic requirements into detailed requirements and actionable user stories. This role coordinates with the team leadership to prioritize user stories that realize customer requirements. Primary Responsibilities: Platform Development & Administration: Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources. Entity Relationship Management: Analyze and connect records to determine relationships across datasets, creating accurate master data views that improve data quality and compliance readiness. Full Lifecycle Management: Oversee data model design, implementation, testing, deployment, and environment administration to ensure high availability and performance. Matching & Resolution Expertise: Configure and optimize standardization, bucketing, and comparison algorithms; design custom rules, weights, and thresholds; and apply advanced techniques to consolidate records across disparate sources. Quality & Effectiveness Monitoring: Perform match tuning, false positive/negative analysis, threshold optimization, and maintain data quality scorecards and effectiveness metrics. Performance & Scalability: Optimize database performance through indexing, partitioning, and query tuning; monitor systems; and conduct capacity planning and performance testing. Collaboration & Leadership: Partner with stakeholders to translate requirements into solutions, document architecture and procedures, and participate in incident response and root cause analysis. Basic Qualifications: Hands-on experience with probabilistic matching and entity resolution solutions, including translating business requirements into technical configurations Strong knowledge of entity resolution concepts, data linkage theory, and matching algorithms (Fellegi-Sunter, distance metrics, phonetic approaches) Expertise in data quality dimensions, tokenization, standardization, and normalization techniques to improve matching effectiveness Advanced analytical and problem-solving skills with proven experience in data analysis and pattern recognition Proficiency in SQL and enterprise relational databases (Oracle) within large-scale environments, including performance tuning for high-volume transactional systems Experience with enterprise ETL platforms, data integration tools, and maintaining large-scale, cloud-based Linux information systems Familiarity with Agile development methodologies and collaborative software delivery practices BS degree with 12 or more years of relevant experience; or Masters degree with 10 or more years of relevant experience. Will consider additional relevant work experience in lieu of a degree. Must have an active TS/SCI with polygraph security clearance Preferred Qualifications: Background in statistics, data science, or computational linguistics with hands-on experience with enterprise Master Data Management (MDM) platforms (e.g., IBM InfoSphere MDM) Experience with IBM InfoSphere MDM administrative tools, workbench, and configuration utilities Knowledge of probabilistic matching engines including standardization algorithms, bucketing strategies, comparison functions, and scoring models and familiarity with identity resolution in multi-domain environments and machine learning approaches to entity resolution and record linkage Experience in healthcare, financial services, or other industries with complex entity matching requirements Professional certification in Master Data Management, Data Quality or Database Administration Experience with development in Commercial Cloud Platforms (e.g., AWS, Oracle, Azure) and leveraging cloud data services (e.g., S3, RDS, SQS) Familiarity with Java or similar programming languages for custom extensions and matching algorithm development At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/26/2026
Full time
Leidos has an exciting opportunity for a Data Engineer in our Intel Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary We are seeking an experienced Data Engineer to execute the design, development and administration of an enterprise-scale Next Generation Correlation/Entity Resolution platform. This position supports a mission-critical system that serves as a foundational data exploitation capability servicing multiple applications/use cases. The ideal candidate will possess deep expertise in master data management, probabilistic matching algorithms and entity resolution, with the technical architecture skills required to optimize match performance at scale. This role supports technical planning, design, development, integration, and verification and validation. This role refines customer roadmaps, enterprise epics, and strategic requirements into detailed requirements and actionable user stories. This role coordinates with the team leadership to prioritize user stories that realize customer requirements. Primary Responsibilities: Platform Development & Administration: Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources. Entity Relationship Management: Analyze and connect records to determine relationships across datasets, creating accurate master data views that improve data quality and compliance readiness. Full Lifecycle Management: Oversee data model design, implementation, testing, deployment, and environment administration to ensure high availability and performance. Matching & Resolution Expertise: Configure and optimize standardization, bucketing, and comparison algorithms; design custom rules, weights, and thresholds; and apply advanced techniques to consolidate records across disparate sources. Quality & Effectiveness Monitoring: Perform match tuning, false positive/negative analysis, threshold optimization, and maintain data quality scorecards and effectiveness metrics. Performance & Scalability: Optimize database performance through indexing, partitioning, and query tuning; monitor systems; and conduct capacity planning and performance testing. Collaboration & Leadership: Partner with stakeholders to translate requirements into solutions, document architecture and procedures, and participate in incident response and root cause analysis. Basic Qualifications: Hands-on experience with probabilistic matching and entity resolution solutions, including translating business requirements into technical configurations Strong knowledge of entity resolution concepts, data linkage theory, and matching algorithms (Fellegi-Sunter, distance metrics, phonetic approaches) Expertise in data quality dimensions, tokenization, standardization, and normalization techniques to improve matching effectiveness Advanced analytical and problem-solving skills with proven experience in data analysis and pattern recognition Proficiency in SQL and enterprise relational databases (Oracle) within large-scale environments, including performance tuning for high-volume transactional systems Experience with enterprise ETL platforms, data integration tools, and maintaining large-scale, cloud-based Linux information systems Familiarity with Agile development methodologies and collaborative software delivery practices BS degree with 12 or more years of relevant experience; or Masters degree with 10 or more years of relevant experience. Will consider additional relevant work experience in lieu of a degree. Must have an active TS/SCI with polygraph security clearance Preferred Qualifications: Background in statistics, data science, or computational linguistics with hands-on experience with enterprise Master Data Management (MDM) platforms (e.g., IBM InfoSphere MDM) Experience with IBM InfoSphere MDM administrative tools, workbench, and configuration utilities Knowledge of probabilistic matching engines including standardization algorithms, bucketing strategies, comparison functions, and scoring models and familiarity with identity resolution in multi-domain environments and machine learning approaches to entity resolution and record linkage Experience in healthcare, financial services, or other industries with complex entity matching requirements Professional certification in Master Data Management, Data Quality or Database Administration Experience with development in Commercial Cloud Platforms (e.g., AWS, Oracle, Azure) and leveraging cloud data services (e.g., S3, RDS, SQS) Familiarity with Java or similar programming languages for custom extensions and matching algorithm development At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
09/26/2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
09/26/2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
09/26/2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality Teaching, coaching, and mentoring less experienced staff Contributing to proposals as well as preliminary and critical design reviews Ability to obtain program access What You Will Learn Working across a product line in collaboration with other teams Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.). Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations Familiarity with layered architectural principles, and their limitations Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. . click apply for full job details
09/26/2026
Full time
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality Teaching, coaching, and mentoring less experienced staff Contributing to proposals as well as preliminary and critical design reviews Ability to obtain program access What You Will Learn Working across a product line in collaboration with other teams Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.). Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations Familiarity with layered architectural principles, and their limitations Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. . click apply for full job details
Date Posted: 2026-08-05 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. . click apply for full job details
09/25/2026
Full time
Date Posted: 2026-08-05 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. . click apply for full job details
Job Description Job Title: Principal Controls Specialist - Modeling and Simulation Working Pattern: Full-time Working location: Indianapolis, IN or West Lafayette, IN (Hybrid schedule/ 3 days onsite) As a Principal Controls Specialist - Modeling and Simulation, you will be part of a multidiscipline team responsible for the development, testing and continuous integration of the hardware and software test environment used in the development and qualification of electronic engine control software and hardware-in-the-loop investigations. You will ensure that all delivered test and simulation products meet program requirements. You will coordinate with engine control project teams, external customers, and hardware and software vendors supporting simulation test assets. You will be responsible for the hardware/software builds, tool, and process used for executing on the simulation environment. You will be involved at all stages of a project lifecycle from concept development, integrated/component testing through final production release and maintenance. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive. Be part of a team that sets the industry standard and drives groundbreaking solutions. At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. What you will be doing With this attractive opportunity you will get a chance to: Planning, designing and developing software solutions of real-time simulation test platforms Integration, testing and troubleshooting of software/hardware and software/software designs Technical management and improvement of the automated build and execution tool and process used for executing batched test programs running on the simulation environment Mentor engineers to improve technical capability and project performance. Enable technical excellence of engineering deliverables for projects. Technical management and project leadership of a team of simulation engineers coordinating technical tasks, commitments, deliveries and communications with an engineering program. Presentation of technical data to senior engineers, management, and customers Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Basic Requirements: Bachelor's degree with 5+ years of software simulation experience -OR- Master's degree with 3+ years of experience in software simulation engineering (development or testing) -OR- JD/PhD Must be a US Citizen. Ability to obtain/maintain US DOD Secret Clearance. Preferred Requirements: Modelling, Simulation, and Control System experience Strong understanding of software configuration management and software architecture Knowledge of electronics (sensors, actuators, and processors) Strong software development skills in C/C++, Python, CMake, Bash, Simulink, Continuous Integration/Automation (e.g. Jenkins), UNIX shell Hardware (electronics/circuits) troubleshooting experience Experience with MIL-STD-3022. Knowledge in software design patterns and software testing framework Familiarity with Embedded Systems Architecture and Design Understanding of UNIX, Windows OS, and build environments Certified Modeling & Simulation Professional certification. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming. Relocation assistance is available for this position. Global Grade Level C Closing date: 9/30/2026 If you have questions regarding this requisition, please contact Craig Beronja. Job Category Electrical and Electronics Job Posting Date 11 Sep 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $114,400 - $185,900-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Technology,
09/25/2026
Full time
Job Description Job Title: Principal Controls Specialist - Modeling and Simulation Working Pattern: Full-time Working location: Indianapolis, IN or West Lafayette, IN (Hybrid schedule/ 3 days onsite) As a Principal Controls Specialist - Modeling and Simulation, you will be part of a multidiscipline team responsible for the development, testing and continuous integration of the hardware and software test environment used in the development and qualification of electronic engine control software and hardware-in-the-loop investigations. You will ensure that all delivered test and simulation products meet program requirements. You will coordinate with engine control project teams, external customers, and hardware and software vendors supporting simulation test assets. You will be responsible for the hardware/software builds, tool, and process used for executing on the simulation environment. You will be involved at all stages of a project lifecycle from concept development, integrated/component testing through final production release and maintenance. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive. Be part of a team that sets the industry standard and drives groundbreaking solutions. At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. What you will be doing With this attractive opportunity you will get a chance to: Planning, designing and developing software solutions of real-time simulation test platforms Integration, testing and troubleshooting of software/hardware and software/software designs Technical management and improvement of the automated build and execution tool and process used for executing batched test programs running on the simulation environment Mentor engineers to improve technical capability and project performance. Enable technical excellence of engineering deliverables for projects. Technical management and project leadership of a team of simulation engineers coordinating technical tasks, commitments, deliveries and communications with an engineering program. Presentation of technical data to senior engineers, management, and customers Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Basic Requirements: Bachelor's degree with 5+ years of software simulation experience -OR- Master's degree with 3+ years of experience in software simulation engineering (development or testing) -OR- JD/PhD Must be a US Citizen. Ability to obtain/maintain US DOD Secret Clearance. Preferred Requirements: Modelling, Simulation, and Control System experience Strong understanding of software configuration management and software architecture Knowledge of electronics (sensors, actuators, and processors) Strong software development skills in C/C++, Python, CMake, Bash, Simulink, Continuous Integration/Automation (e.g. Jenkins), UNIX shell Hardware (electronics/circuits) troubleshooting experience Experience with MIL-STD-3022. Knowledge in software design patterns and software testing framework Familiarity with Embedded Systems Architecture and Design Understanding of UNIX, Windows OS, and build environments Certified Modeling & Simulation Professional certification. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming. Relocation assistance is available for this position. Global Grade Level C Closing date: 9/30/2026 If you have questions regarding this requisition, please contact Craig Beronja. Job Category Electrical and Electronics Job Posting Date 11 Sep 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $114,400 - $185,900-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Technology,
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 09, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
09/25/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 09, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
09/25/2026
Full time
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/25/2026
Full time
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Thales Defense & Security, Inc. (TDSI) Headquartered in Clarksburg, MD, is a U.S. company that has been serving domestic and international defense Air, Land and Sea domains for 60+ years. With over 1,000 employees, TDSI and its four subsidiaries (Advanced Acoustic Concepts, Digital Receiver Technology, Tampa Microwave, and Trusted Cyber Technologies), supports U.S. Joint Services, special operations forces and multi-national partners with a variety of communication, visualization, signal intelligence/electronic warfare, and sensor/sonar capabilities. TDSI's key technologies include tactical handheld radios, expeditionary satellite terminals, helmet-mounted displays, optics and target recognition capability, advanced radars, undersea sensing and missile systems. Lives depend on what we do! Top Benefits (Subject to terms of applicable policies/plans) Competitive Salary Yearly Incentive Compensation Plan Medical insurance for self and eligible family members Generous 401(k) program- up to 7% company contribution and 100% immediate vesting Tuition Reimbursement Paid wellness, vacation, and holiday leave Paid maternity, paternity, and parental leave 9/80 Work Schedule (every other Friday off) Hybrid working environment We are excited to announce that we have an opening in our Germantown, MD office for a Principal Systems Engineer , which will focus on our EW/SIGINT line of Digital Receiver Technology (DRT) products.DRT is a highly regarded innovative SIGINT/EW system solution provider for the US military, Five-Eyes, and Intelligence Community. We develop state-of-the-art RF transceivers, DF antennas, and extensive signal processing exploitation, geolocation, and electronic attack applications. DRT has a broad, comprehensive, multi-disciplined development engineering team with on-site production facilities. DRT is a commercial product house who works closely with their customers to customize the product line to solve complex real operational problems. It has the benefits and attractiveness of a small company with the support of a larger organization. Responsibilities Provide systems engineering expertise with developing SW Defined Radios for SIGINT and EW applications. Provide systems engineering guidance with signals exploitation, geolocation techniques, precision PNT, RF jamming modalities, information assurance, IA, and Cyber security. Lead product development systems activities/teams with use case analysis, requirements capture, allocation, and derivation, architectural analysis and design, system level testing, integration, verification and validation efforts, and transition to manufacturing. Support Business Development with customer meetings, product presentations and demonstrations, requirements elicitation, architecture development, and systems implementation. Provide subject matter expertise as a project design authority of HF, UHF, VHF, and SHF SIGINT and EW systems. Provide systems engineering expertise with SIGINT/EW solutions integration into military platforms and larger Enterprise level collection systems Lead complex systems integration efforts of multi-disciplined engineering teams. Develop technical proposals and support cost estimation and evaluate competing product and solution offerings. Represent Thales at relevant industry forums. Serve as a customer liaison, supporting design reviews and other technical interchanges. Support field installation, testing, evaluation, and troubleshooting of equipment, along with government acceptance testing. Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. U.S. Citizenship Required- along with the ability to obtain and maintain U.S. Top Secret or SCI Level Security Clearance upon hire (current TS/SCI preferred). BSEE, BSCS, or equivalent. MSEE, MSCS or equivalent preferred 8+ years as a Design/ Systems Engineer. Must have strong presentation and writing skills. Fluent in English. Experience with system level design, development, and testing of tactical, secure, state-of-the-art military communications systems. Experience with requirements elicitation, decomposition, traceability, and lifecycle management. Knowledge of RF design, Digital design, Software design, and Information Security. Experience working in a laboratory environment with RF and Digital test equipment. Preferred Qualifications Experience with developing Software Defined Radios. Experience with developing SIGINT/EW systems. Experience integrating SIGINT/EW systems into platforms and Enterprise collection systems. Experience working with Direction Finding, DF, and Time Difference of Arrival, TDOA collection systems. Experience with signals exploitation and Electronic Attack SW development. Information Assurance and Cyber security experience. The annualized pay range for this role is $149,702-$191,286 USD along with a target incentive compensation plan (ICP) of 5% . The pay range provided is a good faith estimate representative of the experience level for the role described above. TDSI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. For specific questions about this job posting, candidates may contact talent acquisition at . Thales Defense & Security, Inc. is committed to non-discrimination as applicable under federal, state and local laws. We are an E-Verify Employer. If you need an accommodation or assistance in order to apply for a position with Thales Defense & Security, Inc., please call Human Resources at .
09/25/2026
Full time
Thales Defense & Security, Inc. (TDSI) Headquartered in Clarksburg, MD, is a U.S. company that has been serving domestic and international defense Air, Land and Sea domains for 60+ years. With over 1,000 employees, TDSI and its four subsidiaries (Advanced Acoustic Concepts, Digital Receiver Technology, Tampa Microwave, and Trusted Cyber Technologies), supports U.S. Joint Services, special operations forces and multi-national partners with a variety of communication, visualization, signal intelligence/electronic warfare, and sensor/sonar capabilities. TDSI's key technologies include tactical handheld radios, expeditionary satellite terminals, helmet-mounted displays, optics and target recognition capability, advanced radars, undersea sensing and missile systems. Lives depend on what we do! Top Benefits (Subject to terms of applicable policies/plans) Competitive Salary Yearly Incentive Compensation Plan Medical insurance for self and eligible family members Generous 401(k) program- up to 7% company contribution and 100% immediate vesting Tuition Reimbursement Paid wellness, vacation, and holiday leave Paid maternity, paternity, and parental leave 9/80 Work Schedule (every other Friday off) Hybrid working environment We are excited to announce that we have an opening in our Germantown, MD office for a Principal Systems Engineer , which will focus on our EW/SIGINT line of Digital Receiver Technology (DRT) products.DRT is a highly regarded innovative SIGINT/EW system solution provider for the US military, Five-Eyes, and Intelligence Community. We develop state-of-the-art RF transceivers, DF antennas, and extensive signal processing exploitation, geolocation, and electronic attack applications. DRT has a broad, comprehensive, multi-disciplined development engineering team with on-site production facilities. DRT is a commercial product house who works closely with their customers to customize the product line to solve complex real operational problems. It has the benefits and attractiveness of a small company with the support of a larger organization. Responsibilities Provide systems engineering expertise with developing SW Defined Radios for SIGINT and EW applications. Provide systems engineering guidance with signals exploitation, geolocation techniques, precision PNT, RF jamming modalities, information assurance, IA, and Cyber security. Lead product development systems activities/teams with use case analysis, requirements capture, allocation, and derivation, architectural analysis and design, system level testing, integration, verification and validation efforts, and transition to manufacturing. Support Business Development with customer meetings, product presentations and demonstrations, requirements elicitation, architecture development, and systems implementation. Provide subject matter expertise as a project design authority of HF, UHF, VHF, and SHF SIGINT and EW systems. Provide systems engineering expertise with SIGINT/EW solutions integration into military platforms and larger Enterprise level collection systems Lead complex systems integration efforts of multi-disciplined engineering teams. Develop technical proposals and support cost estimation and evaluate competing product and solution offerings. Represent Thales at relevant industry forums. Serve as a customer liaison, supporting design reviews and other technical interchanges. Support field installation, testing, evaluation, and troubleshooting of equipment, along with government acceptance testing. Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. U.S. Citizenship Required- along with the ability to obtain and maintain U.S. Top Secret or SCI Level Security Clearance upon hire (current TS/SCI preferred). BSEE, BSCS, or equivalent. MSEE, MSCS or equivalent preferred 8+ years as a Design/ Systems Engineer. Must have strong presentation and writing skills. Fluent in English. Experience with system level design, development, and testing of tactical, secure, state-of-the-art military communications systems. Experience with requirements elicitation, decomposition, traceability, and lifecycle management. Knowledge of RF design, Digital design, Software design, and Information Security. Experience working in a laboratory environment with RF and Digital test equipment. Preferred Qualifications Experience with developing Software Defined Radios. Experience with developing SIGINT/EW systems. Experience integrating SIGINT/EW systems into platforms and Enterprise collection systems. Experience working with Direction Finding, DF, and Time Difference of Arrival, TDOA collection systems. Experience with signals exploitation and Electronic Attack SW development. Information Assurance and Cyber security experience. The annualized pay range for this role is $149,702-$191,286 USD along with a target incentive compensation plan (ICP) of 5% . The pay range provided is a good faith estimate representative of the experience level for the role described above. TDSI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. For specific questions about this job posting, candidates may contact talent acquisition at . Thales Defense & Security, Inc. is committed to non-discrimination as applicable under federal, state and local laws. We are an E-Verify Employer. If you need an accommodation or assistance in order to apply for a position with Thales Defense & Security, Inc., please call Human Resources at .
Leidos has an exciting opportunity for a Principal ETL Developer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Description We have an IMMEDIATE NEED for an ETL developer to play a pivotal role in shaping, leading, and implementing cutting-edge data flow solutions centered around Apache NiFi. The candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications in support of Extracting, Transforming and Loading (ETL) of data into an enterprise Data Lake. The candidate will be responsible for defining architectural best practices, optimizing performance in large-scale environments, and mentoring junior developers, ensuring the delivery of robust, scalable, and secure data flow solutions that drive critical customer needs. Based in a DevOps framework, the ETL Developer participates in and directs major deliverables of projects through all aspects of the software development lifecycle. Primary Responsibilities: Architecting complex NiFi data pipeline design: Design and develop enterprise-level ETL architectures and implement NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources. Performance optimization and tuning: Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing. Advanced troubleshooting and problem resolution: Identify, diagnose, and resolve complex NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures. Integrating with big data and cloud technologies: Seamlessly integrate NiFi with various databases, big data ecosystems, and cloud platforms (e.g., AWS, OCI, Azure), demonstrating expertise in relevant services (e.g., Kafka, Elasticsearch, S3, SQS/SNS). Defining best practices and standards: Establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise-wide data management policies. Documentation and knowledge sharing: Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures, ensuring knowledge transfer and promoting efficient team operations. Collaboration and communication: Collaborate effectively with data architects, data engineers, application/service developers, and other stakeholders to translate business requirements into robust technical solutions and effectively communicate complex technical concepts to both technical and non-technical audiences. Mentorship and team leadership: Mentor junior developers, provide technical guidance, conduct code reviews, and foster a collaborative learning environment. Basic Qualifications: In-depth experience designing, developing, and managing complex NiFi data flow solutions in large-scale enterprise environments. In-depth knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability. Proficiency in programming languages like Java and Python for custom NiFi processor development and scripting for automation. Proficiency writing and optimizing complex queries, along with experience in managing relational and NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB). Direct experience with real-time streaming, and API integration (REST) for seamless data connectivity. Direct experience with cloud platforms like AWS, Azure, or OCI and related data services Strong ability to analyze complex data challenges, identify root causes, and implement effective solutions. Strong ability to collaborate effectively with cross-functional teams, articulate technical concepts clearly, and provide effective mentorship. Bachelor's degree with 12 or more years of prior relevant experience or Master's degree with 10 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance Preferred Qualifications: In-depth experience deploying ETL solutions in an AWS environment. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/25/2026
Full time
Leidos has an exciting opportunity for a Principal ETL Developer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Description We have an IMMEDIATE NEED for an ETL developer to play a pivotal role in shaping, leading, and implementing cutting-edge data flow solutions centered around Apache NiFi. The candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications in support of Extracting, Transforming and Loading (ETL) of data into an enterprise Data Lake. The candidate will be responsible for defining architectural best practices, optimizing performance in large-scale environments, and mentoring junior developers, ensuring the delivery of robust, scalable, and secure data flow solutions that drive critical customer needs. Based in a DevOps framework, the ETL Developer participates in and directs major deliverables of projects through all aspects of the software development lifecycle. Primary Responsibilities: Architecting complex NiFi data pipeline design: Design and develop enterprise-level ETL architectures and implement NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources. Performance optimization and tuning: Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing. Advanced troubleshooting and problem resolution: Identify, diagnose, and resolve complex NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures. Integrating with big data and cloud technologies: Seamlessly integrate NiFi with various databases, big data ecosystems, and cloud platforms (e.g., AWS, OCI, Azure), demonstrating expertise in relevant services (e.g., Kafka, Elasticsearch, S3, SQS/SNS). Defining best practices and standards: Establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise-wide data management policies. Documentation and knowledge sharing: Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures, ensuring knowledge transfer and promoting efficient team operations. Collaboration and communication: Collaborate effectively with data architects, data engineers, application/service developers, and other stakeholders to translate business requirements into robust technical solutions and effectively communicate complex technical concepts to both technical and non-technical audiences. Mentorship and team leadership: Mentor junior developers, provide technical guidance, conduct code reviews, and foster a collaborative learning environment. Basic Qualifications: In-depth experience designing, developing, and managing complex NiFi data flow solutions in large-scale enterprise environments. In-depth knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability. Proficiency in programming languages like Java and Python for custom NiFi processor development and scripting for automation. Proficiency writing and optimizing complex queries, along with experience in managing relational and NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB). Direct experience with real-time streaming, and API integration (REST) for seamless data connectivity. Direct experience with cloud platforms like AWS, Azure, or OCI and related data services Strong ability to analyze complex data challenges, identify root causes, and implement effective solutions. Strong ability to collaborate effectively with cross-functional teams, articulate technical concepts clearly, and provide effective mentorship. Bachelor's degree with 12 or more years of prior relevant experience or Master's degree with 10 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance Preferred Qualifications: In-depth experience deploying ETL solutions in an AWS environment. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
09/25/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
09/25/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
09/25/2026
Full time
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
