Job Summary: We are looking for a detail-oriented and technically skilled GCP Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs. Key Responsibilities: Integration Design & Development Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts. Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,. Data Quality & Governance Ensure high data quality, accuracy, and consistency during data ingestion and transformation. Implement data validation, cleansing, deduplication, and monitoring mechanisms. Contribute to metadata management, data lineage, and data catalog initiatives. Collaboration & Troubleshooting Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions. Troubleshoot and resolve data integration and pipeline issues in a timely manner. Provide documentation and knowledge transfer for developed solutions. Platform & Infrastructure Support Support data movement across hybrid environments (on-prem, cloud, third-party systems). Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure. Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 4-8 years of experience in data integration, data engineering, with strong ETL and SQL. Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi. Proficient in SQL, Python, and scripting for data manipulation and automation. Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow. Familiarity with REST/SOAP APIs, JSON, XML , and flat file integrations. Preferred Skills: Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.). Prior experience in industries like healthcare, fintech, or e-commerce is a plus. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Ability to manage multiple priorities and deliver in a fast-paced environment. Attention to detail and a commitment to delivering high-quality work. Seniority Level Mid-Senior level Industry IT System Data Services Employment Type Full-time Job Functions Health Care Provider Skills Representational State Transfer (REST) Software as a Service (SaaS) Google Cloud Platform
04/04/2026
Full time
Job Summary: We are looking for a detail-oriented and technically skilled GCP Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs. Key Responsibilities: Integration Design & Development Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts. Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,. Data Quality & Governance Ensure high data quality, accuracy, and consistency during data ingestion and transformation. Implement data validation, cleansing, deduplication, and monitoring mechanisms. Contribute to metadata management, data lineage, and data catalog initiatives. Collaboration & Troubleshooting Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions. Troubleshoot and resolve data integration and pipeline issues in a timely manner. Provide documentation and knowledge transfer for developed solutions. Platform & Infrastructure Support Support data movement across hybrid environments (on-prem, cloud, third-party systems). Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure. Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 4-8 years of experience in data integration, data engineering, with strong ETL and SQL. Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi. Proficient in SQL, Python, and scripting for data manipulation and automation. Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow. Familiarity with REST/SOAP APIs, JSON, XML , and flat file integrations. Preferred Skills: Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.). Prior experience in industries like healthcare, fintech, or e-commerce is a plus. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Ability to manage multiple priorities and deliver in a fast-paced environment. Attention to detail and a commitment to delivering high-quality work. Seniority Level Mid-Senior level Industry IT System Data Services Employment Type Full-time Job Functions Health Care Provider Skills Representational State Transfer (REST) Software as a Service (SaaS) Google Cloud Platform
Immediate need for a talented Software Systems Engineer (exp in Medical device) . This is a 09+ Months Contract opportunity with long-term potential and is located in Pleasanton, CA (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:-26-09305 Pay Range: $65 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Serve as a Software Systems Engineer Individual Contributor and Team Lead to deliver: Requirements Elicitation Requirements decomposition/traceability dFMEAs SysML/SW Architecture Creating Development Plans Trade-Off Studies Trace Matrix Lead technical software design reviews for deliverables Own and author of internal design documentation with high level of polish for consumption by other engineers and business partners Validate the efficacy and value of implemented design patterns and documentation and continuously improve Self-directed coordination of implementation projects, tasks, device documentation and cross training of coworkers Responsible for staying abreast of emerging developments in infrastructure and software technologies and making recommendations as appropriate Med device exp. required. Potential to extend for right candidate but no guarantee. Start asap if onboarding requirements met. Prefer local candidates over others. Key Requirements and Technology Experience: Must have skills : software requirements development, SysML/SW Architecture, FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Years Experience: 5+ years of systems engineering experience Skills:-Significant experience in software requirements development Ability to work in a geographically diverse environment Ability to work within a team and as an individual contributor/team lead in a fast-paced, changing environment Ability to leverage and/or engage others to accomplish projects Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization Multitasks, prioritizes and meets deadlines in timely manner Ability to maintain regular and predictable attendance Experience working in an Agile lifecycle methodology Experience as a Software Systems Engineer in a Medical Device company Experience requirements management tool Experience with FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Education: Bachelor's degree required Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here .
04/04/2026
Full time
Immediate need for a talented Software Systems Engineer (exp in Medical device) . This is a 09+ Months Contract opportunity with long-term potential and is located in Pleasanton, CA (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:-26-09305 Pay Range: $65 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Serve as a Software Systems Engineer Individual Contributor and Team Lead to deliver: Requirements Elicitation Requirements decomposition/traceability dFMEAs SysML/SW Architecture Creating Development Plans Trade-Off Studies Trace Matrix Lead technical software design reviews for deliverables Own and author of internal design documentation with high level of polish for consumption by other engineers and business partners Validate the efficacy and value of implemented design patterns and documentation and continuously improve Self-directed coordination of implementation projects, tasks, device documentation and cross training of coworkers Responsible for staying abreast of emerging developments in infrastructure and software technologies and making recommendations as appropriate Med device exp. required. Potential to extend for right candidate but no guarantee. Start asap if onboarding requirements met. Prefer local candidates over others. Key Requirements and Technology Experience: Must have skills : software requirements development, SysML/SW Architecture, FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Years Experience: 5+ years of systems engineering experience Skills:-Significant experience in software requirements development Ability to work in a geographically diverse environment Ability to work within a team and as an individual contributor/team lead in a fast-paced, changing environment Ability to leverage and/or engage others to accomplish projects Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization Multitasks, prioritizes and meets deadlines in timely manner Ability to maintain regular and predictable attendance Experience working in an Agile lifecycle methodology Experience as a Software Systems Engineer in a Medical Device company Experience requirements management tool Experience with FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Education: Bachelor's degree required Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here .
Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd , Slideshare , Everand , and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in person moments that strengthen collaboration and culture. Occasional in person attendance is required for all Scribd, Inc. employees, regardless of location. About the Team The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high quality metadata to enable content discovery and trust for millions of users worldwide. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM powered solutions in production. Role Overview We're seeking a Senior Software Engineer with deep experience building event driven, distributed, and scalable systems in Python. In this role, you'll design and optimize large scale data and service pipelines running on AWS, supporting Scribd's content enrichment and metadata systems. You'll work closely with cross functional teams to design reliable backend services that integrate machine learning models and LLM based components when needed. This role offers the opportunity to work on cutting edge generative AI and metadata enrichment problems at a truly global scale. Tech Stack Our backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache for event driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key Responsibilities Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices. Lead the design, implementation, and scaling of event driven, distributed systems to extract, enrich, and process metadata from large scale document and media datasets. Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration. Contribute to the team's engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks. Build and maintain scalable APIs and backend services for high throughput content processing. Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high performance systems. Optimize and refactor existing backend systems for scalability, reliability, and performance. Ensure system health and data integrity through monitoring, observability, and automated testing. Requirements 7+ years of professional software engineering experience with a focus on backend or distributed systems development. Strong proficiency in Python (5+ years). Experience with Scala is a plus. Expertise in designing and architecting large scale event driven and distributed systems. Strong cloud expertise with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.). Experience with infrastructure as code tools like Terraform. Solid understanding of system performance, profiling, and optimization. Experience leading technical projects and mentoring engineers. Bachelor's degree in Computer Science or equivalent professional experience. Bonus: Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools. Bonus: Experience integrating ML or LLM based models into production systems. Compensation In the United States, the reasonably expected salary range for this role in San Francisco is $146,500 to $228,000. Outside California, the range is $120,000 to $217,000. In Canada, the range is $153,000 CAD to $202,000 CAD. Compensation is determined within a range and may vary based on geographic market and experience. This position is eligible for equity ownership and a comprehensive benefits package. Working at Scribd, Inc. Employees must have their primary residence in or near one of the following cities: United States: Atlanta Austin Boston Dallas Denver Chicago Houston Jacksonville Los Angeles Miami New York City Phoenix Portland Sacramento Salt Lake City San Diego San Francisco Seattle Washington D.C. Canada: Ottawa Toronto Vancouver Mexico: Mexico City Benefits At Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
04/04/2026
Full time
Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd , Slideshare , Everand , and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in person moments that strengthen collaboration and culture. Occasional in person attendance is required for all Scribd, Inc. employees, regardless of location. About the Team The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high quality metadata to enable content discovery and trust for millions of users worldwide. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM powered solutions in production. Role Overview We're seeking a Senior Software Engineer with deep experience building event driven, distributed, and scalable systems in Python. In this role, you'll design and optimize large scale data and service pipelines running on AWS, supporting Scribd's content enrichment and metadata systems. You'll work closely with cross functional teams to design reliable backend services that integrate machine learning models and LLM based components when needed. This role offers the opportunity to work on cutting edge generative AI and metadata enrichment problems at a truly global scale. Tech Stack Our backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache for event driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability. Key Responsibilities Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices. Lead the design, implementation, and scaling of event driven, distributed systems to extract, enrich, and process metadata from large scale document and media datasets. Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration. Contribute to the team's engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks. Build and maintain scalable APIs and backend services for high throughput content processing. Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high performance systems. Optimize and refactor existing backend systems for scalability, reliability, and performance. Ensure system health and data integrity through monitoring, observability, and automated testing. Requirements 7+ years of professional software engineering experience with a focus on backend or distributed systems development. Strong proficiency in Python (5+ years). Experience with Scala is a plus. Expertise in designing and architecting large scale event driven and distributed systems. Strong cloud expertise with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.). Experience with infrastructure as code tools like Terraform. Solid understanding of system performance, profiling, and optimization. Experience leading technical projects and mentoring engineers. Bachelor's degree in Computer Science or equivalent professional experience. Bonus: Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools. Bonus: Experience integrating ML or LLM based models into production systems. Compensation In the United States, the reasonably expected salary range for this role in San Francisco is $146,500 to $228,000. Outside California, the range is $120,000 to $217,000. In Canada, the range is $153,000 CAD to $202,000 CAD. Compensation is determined within a range and may vary based on geographic market and experience. This position is eligible for equity ownership and a comprehensive benefits package. Working at Scribd, Inc. Employees must have their primary residence in or near one of the following cities: United States: Atlanta Austin Boston Dallas Denver Chicago Houston Jacksonville Los Angeles Miami New York City Phoenix Portland Sacramento Salt Lake City San Diego San Francisco Seattle Washington D.C. Canada: Ottawa Toronto Vancouver Mexico: Mexico City Benefits At Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Description In this role, you'll combine hands on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multimodal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation. Work together with AI researchers to implement and optimize training of new model architectures at a large scale. Define roadmap and build physics realistic simulation environment for reinforcement learning, closed loop simulations and synthetic data generation. Implement tooling for data creation, model experimentation, and continuous integration. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications 10+ years of engineering experience 5+ years of engineering team management experience Experience managing multiple concurrent programs, projects and development teams in an Agile environment Proficiency in Python and C++, experience in building large scale training infrastructure using PyTorch Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry equivalent technology (3D animation, simulation, etc) 10+ years of planning, designing, developing and delivering infrastructure software Experience partnering with product or program management science teams working in research environments Preferred Qualifications Experience designing and developing large scale, high traffic applications Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions. Deep understanding of different model architecture like VLM, Imitation learning, VLA Experience implementing techniques from research papers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $198,100/year in our lowest geographic market up to $342,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
04/04/2026
Full time
Description In this role, you'll combine hands on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multimodal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation. Work together with AI researchers to implement and optimize training of new model architectures at a large scale. Define roadmap and build physics realistic simulation environment for reinforcement learning, closed loop simulations and synthetic data generation. Implement tooling for data creation, model experimentation, and continuous integration. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications 10+ years of engineering experience 5+ years of engineering team management experience Experience managing multiple concurrent programs, projects and development teams in an Agile environment Proficiency in Python and C++, experience in building large scale training infrastructure using PyTorch Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry equivalent technology (3D animation, simulation, etc) 10+ years of planning, designing, developing and delivering infrastructure software Experience partnering with product or program management science teams working in research environments Preferred Qualifications Experience designing and developing large scale, high traffic applications Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions. Deep understanding of different model architecture like VLM, Imitation learning, VLA Experience implementing techniques from research papers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $198,100/year in our lowest geographic market up to $342,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
04/04/2026
Full time
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
Date Posted: 2026-02-10 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Systems Engineer II - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques You will develop new C++ models in an extensible and maintainable fashion You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation You will enable our customer's success through adoption and utilization of modeling solutions You will work efficiently inside an established software product, across programming languages, and technical environments You will research and develop novel RF modeling solutions You will coordinate with multiple development teams to prioritize and solve complex software and physics problems You will mentor and share RF expertise with your team Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree 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 Eligible - relocation assistance available for this position 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 68,900 USD - 131,100 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/04/2026
Full time
Date Posted: 2026-02-10 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Systems Engineer II - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques You will develop new C++ models in an extensible and maintainable fashion You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation You will enable our customer's success through adoption and utilization of modeling solutions You will work efficiently inside an established software product, across programming languages, and technical environments You will research and develop novel RF modeling solutions You will coordinate with multiple development teams to prioritize and solve complex software and physics problems You will mentor and share RF expertise with your team Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree 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 Eligible - relocation assistance available for this position 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 68,900 USD - 131,100 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ and is 2nd shift (typically 4pm to 4am Monday to Friday) Job Description: The Test Solutions Center (TSC) team within the Hardware Discipline Center is a multi-discipline organization that provides test solutions to support production lines for our entire missile portfolio. The software team within TSC is responsible for developing advanced windows application solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrating state-of-the-art software solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system products. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and post-production sustainment. The Software Engineer II position is focused on the design, development, integration, and maintenance of software as a part of on-site factory support of systems to support weapon system product development. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of product development for RMD weapon system products. They will be expected to work, either as a part of a team or independently, to design, develop, and implement system level applications in support of producing and maintaining weapon system products. What You Will Do: Prioritize and handle several engineering tasks concurrently Interact and engage with Engineering, Operations PTEs, and program personnel to support factory readiness and robustness Troubleshoot software and test equipment instrumentation Work in a multidiscipline engineering team environment Design, develop and integrate object-oriented software applications using C#, C++ in Microsoft Visual Studio in a Windows Operating System (OS) Support the development and derivation of requirements for software products Qualifications You Must Have: Typically requires a bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two (2) years of prior relevant experience OR an Advanced STEM degree. Minimum of 2 years prior relevant experience developing and debugging software written in an object-oriented language OR an advanced STEM degree where software projects were included in the curriculum Experience using Visual Studio as a development environment and as a troubleshooting tool Experience deploying executable objects to a Windows OS The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience developing Production Test Equipment in an Automation environment Introduction or experience with computer architecture and computer hardware optimization techniques Working knowledge of the development of software drivers for the operation of computer hardware interfaces Introduction or experience in common computer hardware interface and data protocols such as TCP/IP, UDP, or RS-422 Familiarity with laboratory test instrumentation, electronics, and software (e.g., oscilloscopes, power supplies, digital multimeters) Experience with Unified Modeling Language (UML) to visualize software architecture and design Professional experience of software development lifecycles, such as Waterfall and Agile Experience with Software Configuration Management principles Working understanding of the TEE One Page Process. Self-starter and able to manage workload to meet assigned deadlines Introduction or experience with Microsoft Azure DevOps Server or GitHub Written and interpersonal communication skills 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. 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 68,900 USD - 131,100 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/04/2026
Full time
Date Posted: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ and is 2nd shift (typically 4pm to 4am Monday to Friday) Job Description: The Test Solutions Center (TSC) team within the Hardware Discipline Center is a multi-discipline organization that provides test solutions to support production lines for our entire missile portfolio. The software team within TSC is responsible for developing advanced windows application solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrating state-of-the-art software solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system products. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and post-production sustainment. The Software Engineer II position is focused on the design, development, integration, and maintenance of software as a part of on-site factory support of systems to support weapon system product development. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of product development for RMD weapon system products. They will be expected to work, either as a part of a team or independently, to design, develop, and implement system level applications in support of producing and maintaining weapon system products. What You Will Do: Prioritize and handle several engineering tasks concurrently Interact and engage with Engineering, Operations PTEs, and program personnel to support factory readiness and robustness Troubleshoot software and test equipment instrumentation Work in a multidiscipline engineering team environment Design, develop and integrate object-oriented software applications using C#, C++ in Microsoft Visual Studio in a Windows Operating System (OS) Support the development and derivation of requirements for software products Qualifications You Must Have: Typically requires a bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two (2) years of prior relevant experience OR an Advanced STEM degree. Minimum of 2 years prior relevant experience developing and debugging software written in an object-oriented language OR an advanced STEM degree where software projects were included in the curriculum Experience using Visual Studio as a development environment and as a troubleshooting tool Experience deploying executable objects to a Windows OS The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience developing Production Test Equipment in an Automation environment Introduction or experience with computer architecture and computer hardware optimization techniques Working knowledge of the development of software drivers for the operation of computer hardware interfaces Introduction or experience in common computer hardware interface and data protocols such as TCP/IP, UDP, or RS-422 Familiarity with laboratory test instrumentation, electronics, and software (e.g., oscilloscopes, power supplies, digital multimeters) Experience with Unified Modeling Language (UML) to visualize software architecture and design Professional experience of software development lifecycles, such as Waterfall and Agile Experience with Software Configuration Management principles Working understanding of the TEE One Page Process. Self-starter and able to manage workload to meet assigned deadlines Introduction or experience with Microsoft Azure DevOps Server or GitHub Written and interpersonal communication skills 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. 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 68,900 USD - 131,100 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select LinkedIn Profile Which office location are you applying for - NY or SF? Select Are you able to work from either our NY or SF office 5 days a week? Select Why do you want to work at Chalk? Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Chalk's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example . click apply for full job details
04/04/2026
Full time
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select LinkedIn Profile Which office location are you applying for - NY or SF? Select Are you able to work from either our NY or SF office 5 days a week? Select Why do you want to work at Chalk? Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Chalk's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example . click apply for full job details
Date Posted: 2026-03-06 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Sr. Systems Engineer - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Modeling Simulation & Analysis Engineer, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps. This is an Onsite role in Tucson, AZ. What You will Do You will create high fidelity simulations and models for missile design, performance assessment, and flight test support You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience modeling or simulating physical systems Experience in modeling, simulation, statistics, and/or analysis for existing or proposed engineering solutions Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience using applied system engineering principals, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines Experience creating and/or presenting technical briefings Experience developing signal processing / GNC algorithms or models for missile applications Experience with control hardware design & test and/or hardware & software integration Experience modeling physics and/or modeling physical systems as related to flight dynamics Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory 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 Eligible - relocation assistance available for this position 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 86,800 USD - 165,200 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/04/2026
Full time
Date Posted: 2026-03-06 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Sr. Systems Engineer - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Modeling Simulation & Analysis Engineer, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps. This is an Onsite role in Tucson, AZ. What You will Do You will create high fidelity simulations and models for missile design, performance assessment, and flight test support You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience modeling or simulating physical systems Experience in modeling, simulation, statistics, and/or analysis for existing or proposed engineering solutions Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience using applied system engineering principals, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines Experience creating and/or presenting technical briefings Experience developing signal processing / GNC algorithms or models for missile applications Experience with control hardware design & test and/or hardware & software integration Experience modeling physics and/or modeling physical systems as related to flight dynamics Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory 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 Eligible - relocation assistance available for this position 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 86,800 USD - 165,200 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
04/04/2026
Full time
Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Date Posted: 2026-03-09 Country: United States of America Location: US-TX-RICHARDSON-C Cityline Dr CITYLINE C27 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. "We have an exciting opportunity for a Principal Platform Product Owner to support one of our premier programs. In this role, you will collaborate with a cross-disciplinary team of platform engineers and systems administrators, driving innovation in ground systems solutions.". In this critical role, you will lead the implementation and advancement of DevOps practices, ensuring the seamless integration of cutting-edge tools, cloud technologies, and processes within our program. You will collaborate with a cross-disciplinary team to drive innovation and efficiency in our development, security, and operations functions. Note This position will be filled onsite at an RTX Facility in Richardson TX. What You Will Do Serve as Product Owner for the team, owning the backlog, prioritizing work, and ensuring alignment with program objectives and delivery commitments Work with the Scrum Master to plan and execute Agile meetings, including sprint planning and Program Increment (PI) execution, to deliver high-quality, cloud-enabled capabilities on schedule Coordinate delivery and selloff of completed work to customers, ensuring technical acceptance and stakeholder satisfaction Develop and maintain a technical roadmap that keeps the platform aligned with modern DevOps practices, cloud-native architecture, and relevant COTS solutions Evaluate emerging technologies, cloud services, and industry trends to continuously improve platform capabilities, security posture, and team effectiveness Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 8 years of related work experience Experience with the installation, configuration, and maintenance of RedHat Linux operating systems Experience with infrastructure automation and configuration management tools such as Terraform, Ansible, and/or Chef Experience with CI/CD concepts and toolchains (e.g., Jira, Confluence, Jenkins, GitLab, Artifactory, Helm) from a user and integrator perspective Ability to obtain DOD TS/SCI security clearance is required after day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Strong working knowledge in infrastructure of servers, networking, storage, and virtualization technologies in enterprise or mission environments Effective communication, with the ability to convey complex technical concepts to engineers, customers, and senior leadership Advanced experience troubleshooting performance, reliability, and availability issues across Linux-based platforms and infrastructure services Working knowledge of scripting languages such as Python and/or Bash used for automation and operational workflows Experience designing and delivering solutions within a DevOps framework, including security integration throughout the software lifecycle Strong AWS experience, including architecture, deployment, and security of services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with an emphasis on scalability and cost optimization Container and platform engineering experience using Kubernetes and container runtimes such as Docker or Podman Working knowledge of integrating CI/CD pipelines and toolchains to support application teams Experience integrating and supporting COTS and FOSS products in secure or regulated environments DoD 8570 IAT Level II compliance (e.g., Security+ CE or equivalent) 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 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 This position requires 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: Richardson, TX We Are RTX 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. 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/04/2026
Full time
Date Posted: 2026-03-09 Country: United States of America Location: US-TX-RICHARDSON-C Cityline Dr CITYLINE C27 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. "We have an exciting opportunity for a Principal Platform Product Owner to support one of our premier programs. In this role, you will collaborate with a cross-disciplinary team of platform engineers and systems administrators, driving innovation in ground systems solutions.". In this critical role, you will lead the implementation and advancement of DevOps practices, ensuring the seamless integration of cutting-edge tools, cloud technologies, and processes within our program. You will collaborate with a cross-disciplinary team to drive innovation and efficiency in our development, security, and operations functions. Note This position will be filled onsite at an RTX Facility in Richardson TX. What You Will Do Serve as Product Owner for the team, owning the backlog, prioritizing work, and ensuring alignment with program objectives and delivery commitments Work with the Scrum Master to plan and execute Agile meetings, including sprint planning and Program Increment (PI) execution, to deliver high-quality, cloud-enabled capabilities on schedule Coordinate delivery and selloff of completed work to customers, ensuring technical acceptance and stakeholder satisfaction Develop and maintain a technical roadmap that keeps the platform aligned with modern DevOps practices, cloud-native architecture, and relevant COTS solutions Evaluate emerging technologies, cloud services, and industry trends to continuously improve platform capabilities, security posture, and team effectiveness Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 8 years of related work experience Experience with the installation, configuration, and maintenance of RedHat Linux operating systems Experience with infrastructure automation and configuration management tools such as Terraform, Ansible, and/or Chef Experience with CI/CD concepts and toolchains (e.g., Jira, Confluence, Jenkins, GitLab, Artifactory, Helm) from a user and integrator perspective Ability to obtain DOD TS/SCI security clearance is required after day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Strong working knowledge in infrastructure of servers, networking, storage, and virtualization technologies in enterprise or mission environments Effective communication, with the ability to convey complex technical concepts to engineers, customers, and senior leadership Advanced experience troubleshooting performance, reliability, and availability issues across Linux-based platforms and infrastructure services Working knowledge of scripting languages such as Python and/or Bash used for automation and operational workflows Experience designing and delivering solutions within a DevOps framework, including security integration throughout the software lifecycle Strong AWS experience, including architecture, deployment, and security of services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with an emphasis on scalability and cost optimization Container and platform engineering experience using Kubernetes and container runtimes such as Docker or Podman Working knowledge of integrating CI/CD pipelines and toolchains to support application teams Experience integrating and supporting COTS and FOSS products in secure or regulated environments DoD 8570 IAT Level II compliance (e.g., Security+ CE or equivalent) 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 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 This position requires 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: Richardson, TX We Are RTX 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. 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In this role, you will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
04/04/2026
Full time
About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In this role, you will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Glean About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company's cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain's deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. The Role The Agents Runtime team builds the low-latency, reliable, and secure foundation that powers Glean's AI agents and assistant experiences at scale. You'll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You'll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy - while optimizing cost and reliability. You Will Own impactful runtime problems end-to-end - from architecture and design to production launch and ongoing reliability. Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails. Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets. Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability. Harden the platform with fault isolation, retries, timeouts, circuit-breaking, backpressure, and graceful degradation. Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on-call excellence. Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments. You Are 3+ years of software engineering experience building production distributed systems or cloud-native applications. BS/BA in Computer Science or related field, or equivalent practical experience. Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests. Product-minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration. Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers. Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure). Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low-latency paths. Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing. Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics. Background in one or more areas is a plus: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization. Location This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development
04/04/2026
Full time
About Glean About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company's cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain's deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. The Role The Agents Runtime team builds the low-latency, reliable, and secure foundation that powers Glean's AI agents and assistant experiences at scale. You'll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You'll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy - while optimizing cost and reliability. You Will Own impactful runtime problems end-to-end - from architecture and design to production launch and ongoing reliability. Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails. Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets. Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability. Harden the platform with fault isolation, retries, timeouts, circuit-breaking, backpressure, and graceful degradation. Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on-call excellence. Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments. You Are 3+ years of software engineering experience building production distributed systems or cloud-native applications. BS/BA in Computer Science or related field, or equivalent practical experience. Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests. Product-minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration. Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers. Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure). Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low-latency paths. Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing. Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics. Background in one or more areas is a plus: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization. Location This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a dedicated Senior Software Engineer-SAP FS-CD Techno-Functional to play a key role in supporting critical payment operations. This individual will contribute to both daily operational excellence and strategic payment modernization initiatives. The role presents a great opportunity for an SAP FS-CD expert to leverage their expertise within a complex S/4HANA landscape, enhance payment operations, and contribute to innovative solutions as part of a forward-thinking team. Provides support to the Enterprise through delivering best in class technology solutions. Engaged in all phases of the software systems and application development lifecycle which include gathering and analyzing requirements, designing, testing, documenting, and implementing software, responding to outages. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based out of San Antonio; TX, Plano; TX, Charlotte; NC or Phoenix; AZ. Relocation assistance is not available for this position. What you'll do: Design, develop, code, and test complex tactical as well as strategic technical solutions across many technologies to integrate existing systems and tools, collaborating with Engineers or Architects within their team/department and occasionally outside of their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors engineers, coaches engineers on design, development, and maintenance of systems; Reviews teammates' code. Influence and help shape the future of their specific domain's architecture and quality standards and understand, identify, measure across entire solution. Identify system performance issues, to include technical debt, and optimize solution. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree. 6 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s). 4 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python Proven experience researching technical issues and generating creative/innovative solutions. Proven experience addressing production issues by troubleshooting applications and systems. Experience articulating technical challenges and solutions. Demonstrate solid understanding of security coding practices and secure system fundamentals. Proven experience working with cloud technologies and tools. What sets you apart: 5+ years SAP Insurance module experience (FS-CD preferred; FICA considered), with S/4HANA Cloud experience. Deep knowledge of FS-CD processes (master data, payments, billing, reporting, etc.). Proficient in SAP ABAP development, including RICEFW, Object Oriented ABAP(Abstract Class/Interface/Design Patterns) solution design, and technical documentation. Experienced with SAP Business Rules, configurations, and Business Partners. Knowledgeable in SAP APIs (REST, CDS, AMDP,ODATA (SEGW), Odata(RAP),) and ABAP on HANA development. Techno-Functional skills to bridge business needs and technical solutions, with ability to support payment operations and meet SLAs. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.) Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
04/04/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a dedicated Senior Software Engineer-SAP FS-CD Techno-Functional to play a key role in supporting critical payment operations. This individual will contribute to both daily operational excellence and strategic payment modernization initiatives. The role presents a great opportunity for an SAP FS-CD expert to leverage their expertise within a complex S/4HANA landscape, enhance payment operations, and contribute to innovative solutions as part of a forward-thinking team. Provides support to the Enterprise through delivering best in class technology solutions. Engaged in all phases of the software systems and application development lifecycle which include gathering and analyzing requirements, designing, testing, documenting, and implementing software, responding to outages. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based out of San Antonio; TX, Plano; TX, Charlotte; NC or Phoenix; AZ. Relocation assistance is not available for this position. What you'll do: Design, develop, code, and test complex tactical as well as strategic technical solutions across many technologies to integrate existing systems and tools, collaborating with Engineers or Architects within their team/department and occasionally outside of their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors engineers, coaches engineers on design, development, and maintenance of systems; Reviews teammates' code. Influence and help shape the future of their specific domain's architecture and quality standards and understand, identify, measure across entire solution. Identify system performance issues, to include technical debt, and optimize solution. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree. 6 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s). 4 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python Proven experience researching technical issues and generating creative/innovative solutions. Proven experience addressing production issues by troubleshooting applications and systems. Experience articulating technical challenges and solutions. Demonstrate solid understanding of security coding practices and secure system fundamentals. Proven experience working with cloud technologies and tools. What sets you apart: 5+ years SAP Insurance module experience (FS-CD preferred; FICA considered), with S/4HANA Cloud experience. Deep knowledge of FS-CD processes (master data, payments, billing, reporting, etc.). Proficient in SAP ABAP development, including RICEFW, Object Oriented ABAP(Abstract Class/Interface/Design Patterns) solution design, and technical documentation. Experienced with SAP Business Rules, configurations, and Business Partners. Knowledgeable in SAP APIs (REST, CDS, AMDP,ODATA (SEGW), Odata(RAP),) and ABAP on HANA development. Techno-Functional skills to bridge business needs and technical solutions, with ability to support payment operations and meet SLAs. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.) Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
