Job Description Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Develop RTL (Verilog/SystemVerilog) for the IO die, integrating UCIe, PCIe, and other high-speed interconnect IP into a cohesive chiplet-based architecture. Integrate internal and third-party interconnect IP - UCIe, PCIe, CXL, die-to-die, and NoC - into the IO die, including configuration, glue logic, clock/reset, and interface bridging. Modify and customize PCIe and other interconnect IP as needed - controller, PIPE/PHY interface, and configuration logic - to meet die-level requirements and close functional gaps. Define and implement die-to-die and chiplet interfaces using UCIe, ensuring protocol compliance and interoperability across chiplets. Own the microarchitecture and RTL for IO subsystems such as PCIe/CXL controllers, UCIe adapters, and interconnect fabric bridges. Collaborate with verification engineers to develop test plans and debug functional issues at the IP, subsystem, and die level. Work with architecture, PHY/SerDes, physical design, and software teams to close requirements across performance, power, area, and interoperability. Make design decisions out of a large design trade-off space across performance, power, latency, bandwidth, and cost. Develop and automate IP integration and RTL assembly flows using scripting and agentic AI tools and frameworks to improve turnaround time and quality of results. Communicate effectively with stakeholders, including users, partners, and management, to ensure that the die is delivered on time and within budget. Complete other responsibilities as assigned. What You Bring Bachelor's with 5+ years, or Master's with 3+ years, or PhD's with 0+ years of industry experience. Strong background in microarchitecture and RTL design for complex SoC and die integration. 5+ years of experience in RTL development (Verilog/SystemVerilog) for high-speed interconnect and IO subsystems. Hands-on experience integrating and configuring interconnect IP such as PCIe, CXL, UCIe, and die-to-die interfaces. Experience modifying or customizing third-party interconnect IP (e.g., PCIe controller, PIPE, or PHY interface) to meet die-level requirements. Familiarity with UCIe and chiplet-based, multi-die architectures and die-to-die interconnect. Solid understanding of PCIe/CXL protocol stacks (transaction, data link, and physical layers) and the PIPE interface. Experience with SoC integration methodologies, IP packaging (e.g., IP-XACT), and on-chip interface protocols such as AXI, ACE, CHI, or APB. Proficiency in scripting (Tcl, Python, or Perl) for design integration and automation; familiarity with agentic AI tools and frameworks is a plus. Experience in AI/ML workloads. Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $138,000-$206,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy - us/careers/us/privacy/
09/20/2026
Full time
Job Description Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Develop RTL (Verilog/SystemVerilog) for the IO die, integrating UCIe, PCIe, and other high-speed interconnect IP into a cohesive chiplet-based architecture. Integrate internal and third-party interconnect IP - UCIe, PCIe, CXL, die-to-die, and NoC - into the IO die, including configuration, glue logic, clock/reset, and interface bridging. Modify and customize PCIe and other interconnect IP as needed - controller, PIPE/PHY interface, and configuration logic - to meet die-level requirements and close functional gaps. Define and implement die-to-die and chiplet interfaces using UCIe, ensuring protocol compliance and interoperability across chiplets. Own the microarchitecture and RTL for IO subsystems such as PCIe/CXL controllers, UCIe adapters, and interconnect fabric bridges. Collaborate with verification engineers to develop test plans and debug functional issues at the IP, subsystem, and die level. Work with architecture, PHY/SerDes, physical design, and software teams to close requirements across performance, power, area, and interoperability. Make design decisions out of a large design trade-off space across performance, power, latency, bandwidth, and cost. Develop and automate IP integration and RTL assembly flows using scripting and agentic AI tools and frameworks to improve turnaround time and quality of results. Communicate effectively with stakeholders, including users, partners, and management, to ensure that the die is delivered on time and within budget. Complete other responsibilities as assigned. What You Bring Bachelor's with 5+ years, or Master's with 3+ years, or PhD's with 0+ years of industry experience. Strong background in microarchitecture and RTL design for complex SoC and die integration. 5+ years of experience in RTL development (Verilog/SystemVerilog) for high-speed interconnect and IO subsystems. Hands-on experience integrating and configuring interconnect IP such as PCIe, CXL, UCIe, and die-to-die interfaces. Experience modifying or customizing third-party interconnect IP (e.g., PCIe controller, PIPE, or PHY interface) to meet die-level requirements. Familiarity with UCIe and chiplet-based, multi-die architectures and die-to-die interconnect. Solid understanding of PCIe/CXL protocol stacks (transaction, data link, and physical layers) and the PIPE interface. Experience with SoC integration methodologies, IP packaging (e.g., IP-XACT), and on-chip interface protocols such as AXI, ACE, CHI, or APB. Proficiency in scripting (Tcl, Python, or Perl) for design integration and automation; familiarity with agentic AI tools and frameworks is a plus. Experience in AI/ML workloads. Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $138,000-$206,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy - us/careers/us/privacy/
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Experienced and Senior Mission Systems Electronic Systems Design and Analysis Engineers to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. At Boeing, our Electrical Engineers develop electronic and electrical system requirements using analytical and technical skills, translate requirements into system architectures and modify hardware and software designs for Boeing aircraft, unmanned vehicles and much more. The candidate will enable the Mission Systems organization to continue to expand its business base and will participate in advancing aircraft technology. The team performs research into advanced concepts and prototypes for various communication, sensor, electronic warfare and other electromagnetic systems and components. The team is also responsible for developing system/subsystem requirements, participating with Software engineers with real-time Operational Flight Program (OFP) development, subsystem/system testing, and evaluating system performance in Flight Test. Simulation and modeling are utilized to assist in requirements development, software development and offsets some Flight Test verification. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and Senior Level Mission Systems Electronic Systems Design and Analysis Engineers. Position Responsibilities: Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop, document and maintain electronic and electrical system requirements according to customer desires and contract requirements Develop statement-of-work and technical performance specifications Analyze, translate and implement requirements into system architecture, hardware and software designs and interface specifications, showing traceability throughout the product lifecycle Test and validate to ensure system designs meet operational and functional requirements Resolve product integration issues and production anomalies Support fielded hardware and software over the entire product lifecycle Investigate emerging technologies to develop concepts for future product designs to meet projected requirements Monitor supplier performance to ensure system integration and compliance with requirements Develop and document moderately complex electronic and electrical system requirements Design hardware, software and interface specifications Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business need This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Daytona Beach location. At some point, the candidate selected may be requested to travel and work onsite at Boeing, Berkeley, MO to receive training. This position requires the ability to obtain a US Security Clearance as a condition of employment for which the US Government requires US Citizenship. A final US Secret Clearance or higher post start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. Level 3: 5+ years of work related engineering experience with a Bachelor's. Preferred Qualifications (Desired Skills/Experience): Level 4: 9+ years of work related engineering experience with a Bachelor's. Bachelor's degree or higher in Engineering, Physics, or Chemistry Experience with electronic system design, code and test Experience in developing or integrating Mission Systems for military aircraft Experience with requirements management tools, including experience with model-based system engineering (MBSE) development practices Experience navigating Interface Control Documents (ICD's) Experience with analysis of system data Experience working on an agile team and using Jira Experience using analytical, collaboration, communication and organizational skills An interim and/or final U.S. Secret or above clearance that has been active in the past 24 months is desired. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidate must relocate at own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $104,550 - $141,450 Level 4: $127,500 - $172,500 Applications for this position will be accepted until Sept. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education . click apply for full job details
09/20/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Experienced and Senior Mission Systems Electronic Systems Design and Analysis Engineers to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. At Boeing, our Electrical Engineers develop electronic and electrical system requirements using analytical and technical skills, translate requirements into system architectures and modify hardware and software designs for Boeing aircraft, unmanned vehicles and much more. The candidate will enable the Mission Systems organization to continue to expand its business base and will participate in advancing aircraft technology. The team performs research into advanced concepts and prototypes for various communication, sensor, electronic warfare and other electromagnetic systems and components. The team is also responsible for developing system/subsystem requirements, participating with Software engineers with real-time Operational Flight Program (OFP) development, subsystem/system testing, and evaluating system performance in Flight Test. Simulation and modeling are utilized to assist in requirements development, software development and offsets some Flight Test verification. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and Senior Level Mission Systems Electronic Systems Design and Analysis Engineers. Position Responsibilities: Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop, document and maintain electronic and electrical system requirements according to customer desires and contract requirements Develop statement-of-work and technical performance specifications Analyze, translate and implement requirements into system architecture, hardware and software designs and interface specifications, showing traceability throughout the product lifecycle Test and validate to ensure system designs meet operational and functional requirements Resolve product integration issues and production anomalies Support fielded hardware and software over the entire product lifecycle Investigate emerging technologies to develop concepts for future product designs to meet projected requirements Monitor supplier performance to ensure system integration and compliance with requirements Develop and document moderately complex electronic and electrical system requirements Design hardware, software and interface specifications Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business need This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Daytona Beach location. At some point, the candidate selected may be requested to travel and work onsite at Boeing, Berkeley, MO to receive training. This position requires the ability to obtain a US Security Clearance as a condition of employment for which the US Government requires US Citizenship. A final US Secret Clearance or higher post start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. Level 3: 5+ years of work related engineering experience with a Bachelor's. Preferred Qualifications (Desired Skills/Experience): Level 4: 9+ years of work related engineering experience with a Bachelor's. Bachelor's degree or higher in Engineering, Physics, or Chemistry Experience with electronic system design, code and test Experience in developing or integrating Mission Systems for military aircraft Experience with requirements management tools, including experience with model-based system engineering (MBSE) development practices Experience navigating Interface Control Documents (ICD's) Experience with analysis of system data Experience working on an agile team and using Jira Experience using analytical, collaboration, communication and organizational skills An interim and/or final U.S. Secret or above clearance that has been active in the past 24 months is desired. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidate must relocate at own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $104,550 - $141,450 Level 4: $127,500 - $172,500 Applications for this position will be accepted until Sept. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education . click apply for full job details
Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.
09/20/2026
Full time
Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.
Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.
09/20/2026
Full time
Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.
Job Description Job Description America is critically deficient in production of defensive munitions- we currently produce shipborne interceptors in the few hundreds per year while our adversaries are producing offensive threats in the tens of thousands per year. Furientis was started to help solve this problem- introducing a new class of cost-effective, high production rate, interceptor missiles. We're seeking motivated individuals who internalize this problem and are eager to apply their past experience in similar industries (aerospace, defense, automotive/racing, robotics) and out of the box thinking to solve this problem for the US and its allies. About the Team Vehicle Engineering owns the missile as a physical object from design through flight: structures, mechanical integration of the full subsystem stack, and the build. About the Role You will own the fin control actuation system: motor sizing, gear train, mechanical design, servo control law, dyno characterization, hardware-in-the-loop integration, and environmental qualification. Drive electronics are designed by Avionics and embedded firmware by Avionics software, both to your spec; you close the loop with them on the bench. Hands-on from clean-sheet design through ground test and flight. For someone who has taken a tactical-class actuator from sizing through hardware-in-the-loop and flight, ideally on a missile, munition, or guided projectile. What You'll Do Own the fin actuation system across the F-series airframe: motor, gear train, output shaft, position sensor, and the servo control law that ties them together. Size the motor and gear train against aero hinge moments, slew rate, and stall torque across the Mach envelope. Defend bandwidth and authority against autopilot requirements. Spec the actuator drive electronics with Avionics: power stage, current sensing, position interface, and motor-bus partitioning. Spec the embedded servo firmware with Avionics software: current loop, position loop, command interface, and fault handling. Review the implementation and tune from the bench. Stand up the actuator dyno from zero: load fixture, instrumentation, automated test sequences, and frequency-response and step-response characterization. Run hardware-in-the-loop with the flight computer and GNC autopilot. Close the loop against the plant model and the integrated airframe. Own environmental qualification of the actuator stack: shock, vibration, temperature, humidity, and EMI. Take the subsystem from prototype through and flight, including post-flight teardown and data review. Make the cost call on every gear set, magnet, sensor, and connector. Pick the simplest part that meets the requirement. Skills We're Hiring For B.S. in Mechanical, Electrical, Aerospace, or Mechatronics Engineering. M.S. preferred. 7+ years owning electromechanical actuators from sizing through bench validation and integration, with at least one actuator taken through hardware-in-the-loop or flight. Hands-on mechanical design of compact actuators: motor selection, gear trains, output shafts, bearings, and packaging under aero and shock load. Fluency with brushless motor characteristics end-to-end: PMSM and BLDC, commutation, current control, and sensored or sensorless schemes. Servo-loop fluency: frequency response, bandwidth, phase margin, anti-windup, friction and backlash compensation. Can tune a real actuator, not only simulate one. Working fluency with motor-drive electronics and embedded servo firmware sufficient to spec requirements to Avionics and partner on tuning at the bench. MATLAB/Simulink or Python for plant modeling and controller design. Hands-on bench discipline: dyno setup, frequency-response characterization, fault injection, and environmental testing. Bonus Points For Direct flight experience on a tactical missile, munition, interceptor, or guided projectile control actuation system. Hands-on experience writing motor-control firmware or designing motor drive boards. Useful for tuning the loop across the interface with Avionics. High-shock and high-vibration actuator qualification: launch loads, gun-launched munitions, or hard-impact events. Hinge-moment characterization or actuator-load modeling alongside an aerodynamicist. Production transition: moved an actuator from prototype to volume manufacturing, including factory acceptance test flow. Vendor management across the motor, magnet, gearing, sensor, and connector supply chain. Familiarity with insensitive munitions and tactical-missile qualification environments. Hobbyist drone, robotics, motorsport, or model-rocketry build and flight experience that translates to packaging and field-handling intuition. Eligibility & Logistics Location: On-site at our Los Angeles, CA HQ; remote work is not available. Monthly weekend travel for test events and supplier engagements. Clearance: A clearance is not required for this position. Must be a U.S. Person. Equal Opportunity & Export Compliance Furientis is an equal-opportunity employer. To comply with U.S. export control laws, employment is contingent on eligibility to access export-controlled information. AI assists in reviewing applications. Humans make final hiring decisions. Contact us with questions.
09/20/2026
Full time
Job Description Job Description America is critically deficient in production of defensive munitions- we currently produce shipborne interceptors in the few hundreds per year while our adversaries are producing offensive threats in the tens of thousands per year. Furientis was started to help solve this problem- introducing a new class of cost-effective, high production rate, interceptor missiles. We're seeking motivated individuals who internalize this problem and are eager to apply their past experience in similar industries (aerospace, defense, automotive/racing, robotics) and out of the box thinking to solve this problem for the US and its allies. About the Team Vehicle Engineering owns the missile as a physical object from design through flight: structures, mechanical integration of the full subsystem stack, and the build. About the Role You will own the fin control actuation system: motor sizing, gear train, mechanical design, servo control law, dyno characterization, hardware-in-the-loop integration, and environmental qualification. Drive electronics are designed by Avionics and embedded firmware by Avionics software, both to your spec; you close the loop with them on the bench. Hands-on from clean-sheet design through ground test and flight. For someone who has taken a tactical-class actuator from sizing through hardware-in-the-loop and flight, ideally on a missile, munition, or guided projectile. What You'll Do Own the fin actuation system across the F-series airframe: motor, gear train, output shaft, position sensor, and the servo control law that ties them together. Size the motor and gear train against aero hinge moments, slew rate, and stall torque across the Mach envelope. Defend bandwidth and authority against autopilot requirements. Spec the actuator drive electronics with Avionics: power stage, current sensing, position interface, and motor-bus partitioning. Spec the embedded servo firmware with Avionics software: current loop, position loop, command interface, and fault handling. Review the implementation and tune from the bench. Stand up the actuator dyno from zero: load fixture, instrumentation, automated test sequences, and frequency-response and step-response characterization. Run hardware-in-the-loop with the flight computer and GNC autopilot. Close the loop against the plant model and the integrated airframe. Own environmental qualification of the actuator stack: shock, vibration, temperature, humidity, and EMI. Take the subsystem from prototype through and flight, including post-flight teardown and data review. Make the cost call on every gear set, magnet, sensor, and connector. Pick the simplest part that meets the requirement. Skills We're Hiring For B.S. in Mechanical, Electrical, Aerospace, or Mechatronics Engineering. M.S. preferred. 7+ years owning electromechanical actuators from sizing through bench validation and integration, with at least one actuator taken through hardware-in-the-loop or flight. Hands-on mechanical design of compact actuators: motor selection, gear trains, output shafts, bearings, and packaging under aero and shock load. Fluency with brushless motor characteristics end-to-end: PMSM and BLDC, commutation, current control, and sensored or sensorless schemes. Servo-loop fluency: frequency response, bandwidth, phase margin, anti-windup, friction and backlash compensation. Can tune a real actuator, not only simulate one. Working fluency with motor-drive electronics and embedded servo firmware sufficient to spec requirements to Avionics and partner on tuning at the bench. MATLAB/Simulink or Python for plant modeling and controller design. Hands-on bench discipline: dyno setup, frequency-response characterization, fault injection, and environmental testing. Bonus Points For Direct flight experience on a tactical missile, munition, interceptor, or guided projectile control actuation system. Hands-on experience writing motor-control firmware or designing motor drive boards. Useful for tuning the loop across the interface with Avionics. High-shock and high-vibration actuator qualification: launch loads, gun-launched munitions, or hard-impact events. Hinge-moment characterization or actuator-load modeling alongside an aerodynamicist. Production transition: moved an actuator from prototype to volume manufacturing, including factory acceptance test flow. Vendor management across the motor, magnet, gearing, sensor, and connector supply chain. Familiarity with insensitive munitions and tactical-missile qualification environments. Hobbyist drone, robotics, motorsport, or model-rocketry build and flight experience that translates to packaging and field-handling intuition. Eligibility & Logistics Location: On-site at our Los Angeles, CA HQ; remote work is not available. Monthly weekend travel for test events and supplier engagements. Clearance: A clearance is not required for this position. Must be a U.S. Person. Equal Opportunity & Export Compliance Furientis is an equal-opportunity employer. To comply with U.S. export control laws, employment is contingent on eligibility to access export-controlled information. AI assists in reviewing applications. Humans make final hiring decisions. Contact us with questions.
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Triage, you'll be the fastest link between what our robots experience in the field and how our autonomy stack improves, reproducing behaviors, finding root causes, and driving rapid fixes and tests that make every deployment smoother than the last. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If solving hard puzzles on real robots and seeing your fixes land in the field within days excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI What You'll Get To Do Triage incoming reports from field deployments and customer sites, assess impact, and decide what gets fixed now, what gets routed, and what gets tracked. Reproduce field behaviors from logs, telemetry, and recordings, both in simulation and on hardware. Root cause behaviors that span perception, localization, planning, control, and integration boundaries, and ship targeted fixes quickly. Turn every fix into a regression test, scenario, or hardware-in-the-loop (HIL) check so the improvement holds. Build triage tooling for log analysis, event detection, and trend tracking across robots and sites. Run structured test campaigns before releases and help decide when a build is ready for the field. Share clear findings and summaries with owning teams, and champion design improvements when patterns emerge. Travel occasionally to deployment sites to see robots operate firsthand and support field teams What You Have Bachelor's or Master's degree in Robotics, Computer Science, Engineering, or a related field. 2+ years of experience working on real autonomous systems in industry or research. Strong debugging skills across the full autonomy stack, from sensors and drivers to planning and control. Solid programming skills in C++ and Python in Linux-based environments. Familiarity with robotics middleware such as ROS/ROS 2. Experience analyzing logs, telemetry, and recorded robot data to understand system behavior. Comfort working quickly with incomplete information, and communicating clearly with engineers and field teams. The Extras That Set You Apart Experience with release testing, validation, or quality engineering for autonomous systems. Experience building simulation based regression pipelines or hardware-in-the-loop test setups. Experience with data pipelines and event detection over large volumes of robot data. Experience with incident management or defect tracking in a fast moving engineering team. Time spent in the field with deployed robots or autonomous vehicles. Familiarity with continuous integration and automated test infrastructure. Experience with legged, wheeled, or humanoid platforms. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/20/2026
Full time
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Triage, you'll be the fastest link between what our robots experience in the field and how our autonomy stack improves, reproducing behaviors, finding root causes, and driving rapid fixes and tests that make every deployment smoother than the last. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If solving hard puzzles on real robots and seeing your fixes land in the field within days excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI What You'll Get To Do Triage incoming reports from field deployments and customer sites, assess impact, and decide what gets fixed now, what gets routed, and what gets tracked. Reproduce field behaviors from logs, telemetry, and recordings, both in simulation and on hardware. Root cause behaviors that span perception, localization, planning, control, and integration boundaries, and ship targeted fixes quickly. Turn every fix into a regression test, scenario, or hardware-in-the-loop (HIL) check so the improvement holds. Build triage tooling for log analysis, event detection, and trend tracking across robots and sites. Run structured test campaigns before releases and help decide when a build is ready for the field. Share clear findings and summaries with owning teams, and champion design improvements when patterns emerge. Travel occasionally to deployment sites to see robots operate firsthand and support field teams What You Have Bachelor's or Master's degree in Robotics, Computer Science, Engineering, or a related field. 2+ years of experience working on real autonomous systems in industry or research. Strong debugging skills across the full autonomy stack, from sensors and drivers to planning and control. Solid programming skills in C++ and Python in Linux-based environments. Familiarity with robotics middleware such as ROS/ROS 2. Experience analyzing logs, telemetry, and recorded robot data to understand system behavior. Comfort working quickly with incomplete information, and communicating clearly with engineers and field teams. The Extras That Set You Apart Experience with release testing, validation, or quality engineering for autonomous systems. Experience building simulation based regression pipelines or hardware-in-the-loop test setups. Experience with data pipelines and event detection over large volumes of robot data. Experience with incident management or defect tracking in a fast moving engineering team. Time spent in the field with deployed robots or autonomous vehicles. Familiarity with continuous integration and automated test infrastructure. Experience with legged, wheeled, or humanoid platforms. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs. Sensor Systems Role: As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors-LiDARs, depth cameras, IMUs, GPS, and more-ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. What You Will Get To Do 1. Sensor System Design Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices. Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility. Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy. Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization. 2. Sensor System Implementation Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature). Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed. Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states. 3. Sensor System Production & Servicing Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale. Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries. Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments. What You Have Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS. Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams. Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation. Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups) Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI. Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.). Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints. Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions. Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R 120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation The salary range for this role is $100,000-$240,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. . click apply for full job details
09/20/2026
Full time
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs. Sensor Systems Role: As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors-LiDARs, depth cameras, IMUs, GPS, and more-ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. What You Will Get To Do 1. Sensor System Design Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices. Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility. Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy. Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization. 2. Sensor System Implementation Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature). Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed. Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states. 3. Sensor System Production & Servicing Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale. Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries. Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments. What You Have Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS. Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams. Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation. Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups) Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI. Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.). Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints. Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions. Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R 120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation The salary range for this role is $100,000-$240,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. . click apply for full job details
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Safety, you'll own and advance the independent safety layer that keeps our robots safe around people, equipment, and terrain no matter what the rest of the autonomy stack decides. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If building the guarantees that let robots earn trust in the real world excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Own and evolve the safety layer that runs independently of perception, planning, and learned policies, and extend it to new wheeled, legged, and humanoid platforms Build runtime monitors and collision avoidance backstops that check every commanded motion against the environment before it reaches the robot Enforce speed, zone, terrain, and proximity limits, and define the safe operating envelope for each platform and deployment Design fallback and minimal risk behaviors, from graceful slow down to safe stop, and the logic that decides when to trigger them Build watchdogs and health monitoring across sensors, compute, communication, and actuation, so the robot always knows when it can trust itself Lead hazard analysis and safety case development for new platforms and new deployments Verify the safety layer in simulation, hardware-in-the-loop (HIL) testing, and field trials, with coverage that grows with every deployment Work with planning, control, locomotion, and integration teams so the nominal stack plans and moves within the safety envelope What You Have Master's degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field, or a Bachelor's degree with substantial hands-on experience on safety related autonomous systems 2+ years of experience developing safety, monitoring, or fallback systems for robots or autonomous vehicles Strong grounding in classical planning and control, such as collision checking and trajectory validation Experience writing deterministic, real time, resource bounded C++ for systems where correctness matters more than features Solid Python skills for tooling, analysis, and test automation in Linux-based environments A verification mindset: you think in terms of assumptions, failure modes, coverage, and evidence Familiarity with safety standards for mobile robots and autonomous systems (e.g., ISO 13482, ISO 3691-4, ISO 26262) Familiarity with robotics middleware such as ROS/ROS 2, and with robot sensors such as LiDAR, depth cameras, and IMUs The Extras That Set You Apart Functional safety experience in autonomous vehicles, industrial robots, or aerospace Experience with runtime assurance architectures that wrap a learned or complex controller Experience with formal or set based safety methods applied to real robots Experience defining operational design domains and monitoring when a system is outside them Experience with redundant sensing, safety rated hardware, or safety rated communication Experience taking a robotic product through safety assessment or certification Experience with legged or humanoid platforms, where balance and contact make safety envelopes harder to define Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/20/2026
Full time
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Safety, you'll own and advance the independent safety layer that keeps our robots safe around people, equipment, and terrain no matter what the rest of the autonomy stack decides. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If building the guarantees that let robots earn trust in the real world excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI. What You'll Get To Do Own and evolve the safety layer that runs independently of perception, planning, and learned policies, and extend it to new wheeled, legged, and humanoid platforms Build runtime monitors and collision avoidance backstops that check every commanded motion against the environment before it reaches the robot Enforce speed, zone, terrain, and proximity limits, and define the safe operating envelope for each platform and deployment Design fallback and minimal risk behaviors, from graceful slow down to safe stop, and the logic that decides when to trigger them Build watchdogs and health monitoring across sensors, compute, communication, and actuation, so the robot always knows when it can trust itself Lead hazard analysis and safety case development for new platforms and new deployments Verify the safety layer in simulation, hardware-in-the-loop (HIL) testing, and field trials, with coverage that grows with every deployment Work with planning, control, locomotion, and integration teams so the nominal stack plans and moves within the safety envelope What You Have Master's degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field, or a Bachelor's degree with substantial hands-on experience on safety related autonomous systems 2+ years of experience developing safety, monitoring, or fallback systems for robots or autonomous vehicles Strong grounding in classical planning and control, such as collision checking and trajectory validation Experience writing deterministic, real time, resource bounded C++ for systems where correctness matters more than features Solid Python skills for tooling, analysis, and test automation in Linux-based environments A verification mindset: you think in terms of assumptions, failure modes, coverage, and evidence Familiarity with safety standards for mobile robots and autonomous systems (e.g., ISO 13482, ISO 3691-4, ISO 26262) Familiarity with robotics middleware such as ROS/ROS 2, and with robot sensors such as LiDAR, depth cameras, and IMUs The Extras That Set You Apart Functional safety experience in autonomous vehicles, industrial robots, or aerospace Experience with runtime assurance architectures that wrap a learned or complex controller Experience with formal or set based safety methods applied to real robots Experience defining operational design domains and monitoring when a system is outside them Experience with redundant sensing, safety rated hardware, or safety rated communication Experience taking a robotic product through safety assessment or certification Experience with legged or humanoid platforms, where balance and contact make safety envelopes harder to define Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Description Astrolab is The Lunar Operations Company. We design and build the systems and hardware the lunar economy will come to depend on - rovers, power, and data networks for sustained operations on the Moon. We are focused on the problems that must be solved before the next chapter of human exploration can scale. The Moon does not forgive untested assumptions. The people who work here know that, and they wouldn't have it any other way. The Rover Navigation/Localization Engineer will be responsible for the design, analysis, development, tuning, verification, and validation of localization solutions for Astrolab's rovers. Astrolab's localization solutions utilize inputs from multiple types of sensors (e.g. IMU, star tracker, Lidar, cameras) to estimate vehicle state while also tolerating real world conditions such as data dropouts, invalid data, transmission latencies, and similar. The Rover Navigation/Localization Engineer will be creating localization solutions that function reliably under real world conditions. Note: Some travel may be required for this position What you'll do: Design, prototype, and analyze navigation/localization algorithms for extraplanetary mobility systems using simulated and real data from motor resolvers, IMUs, star trackers, cameras, and LiDARs Support development of a GNC simulation, sensor models, and tooling for analysis, verification, and validation of rover localization algorithms Analyze localization algorithm performance under real-world conditions such as faulty sensors, invalid data, data dropouts, variable data latencies, and poor lighting conditions Perform Monte Carlo analysis to demonstrate localization algorithm performance to a high degree of statistical significance under nominal and off-nominal conditions Support navigation/localization flight software implementation, testing, and verification Support field testing of localization solutions on multiple test platforms Stand up automated pipelines, test scenarios, test pass/fail criteria, and test reports for localization flight software verification and validation Support live rover operations and troubleshoot any localization issues that may arise during lunar operations What you'll bring: Basic Qualifications Bachelor's degree in a STEM (Science, Technology, Engineering, or Mathematics) field, or an equivalent combination of education and experience 5+ years of experience designing, developing, and testing navigation and localization systems for rovers, autonomous vehicles, mobile robotic platforms, GPS-denied navigation systems, or similar applications Experience developing and applying state-estimation or localization solutions using multiple sensor inputs, including IMUs, wheel encoders/resolvers, LiDAR, cameras, radar, GNSS, or similar sensors Experience developing and applying odometry solutions using multiple sensor modalities Experience designing, tuning, developing, analyzing, and verifying Kalman filters, particle filters, or similar state-estimation techniques Experience applying vehicle kinematics and dynamics principles to wheeled vehicle navigation and localization problems Experience developing, testing, or applying visual odometry solutions Experience addressing real-world navigation and localization challenges, including invalid sensor data, packet loss, communication latency, image degradation, and similar operational conditions. Experience supporting navigation or localization systems through multiple phases of the product lifecycle, including development, testing, integration, and operational support Strong C++ and Python software development skills Experience developing software tools for localization, perception, sensor-fusion tuning, performance analysis, and debugging Experience with extraterrestrial rover navigation systems, planetary mobility systems, or other autonomous robotic exploration platforms Experience working with GNC-related sensors and associated error characteristics, including IMUs, star trackers, LiDAR, cameras, radar, GNSS receivers, and similar devices Benefits and Perks Join a team of best-in-class engineers building the foundation of planetary surface exploration Equity ownership in the company Comprehensive health benefits, including medical, dental, vision, and mental health support 401(k) plan with company match Flexible PTO and parental leave Home office set up reimbursement Weekly lunch stipend, plus complimentary snacks and beverages on-site Once a month social hour on-site with food and drinks
09/20/2026
Full time
Job Description Job Description Description Astrolab is The Lunar Operations Company. We design and build the systems and hardware the lunar economy will come to depend on - rovers, power, and data networks for sustained operations on the Moon. We are focused on the problems that must be solved before the next chapter of human exploration can scale. The Moon does not forgive untested assumptions. The people who work here know that, and they wouldn't have it any other way. The Rover Navigation/Localization Engineer will be responsible for the design, analysis, development, tuning, verification, and validation of localization solutions for Astrolab's rovers. Astrolab's localization solutions utilize inputs from multiple types of sensors (e.g. IMU, star tracker, Lidar, cameras) to estimate vehicle state while also tolerating real world conditions such as data dropouts, invalid data, transmission latencies, and similar. The Rover Navigation/Localization Engineer will be creating localization solutions that function reliably under real world conditions. Note: Some travel may be required for this position What you'll do: Design, prototype, and analyze navigation/localization algorithms for extraplanetary mobility systems using simulated and real data from motor resolvers, IMUs, star trackers, cameras, and LiDARs Support development of a GNC simulation, sensor models, and tooling for analysis, verification, and validation of rover localization algorithms Analyze localization algorithm performance under real-world conditions such as faulty sensors, invalid data, data dropouts, variable data latencies, and poor lighting conditions Perform Monte Carlo analysis to demonstrate localization algorithm performance to a high degree of statistical significance under nominal and off-nominal conditions Support navigation/localization flight software implementation, testing, and verification Support field testing of localization solutions on multiple test platforms Stand up automated pipelines, test scenarios, test pass/fail criteria, and test reports for localization flight software verification and validation Support live rover operations and troubleshoot any localization issues that may arise during lunar operations What you'll bring: Basic Qualifications Bachelor's degree in a STEM (Science, Technology, Engineering, or Mathematics) field, or an equivalent combination of education and experience 5+ years of experience designing, developing, and testing navigation and localization systems for rovers, autonomous vehicles, mobile robotic platforms, GPS-denied navigation systems, or similar applications Experience developing and applying state-estimation or localization solutions using multiple sensor inputs, including IMUs, wheel encoders/resolvers, LiDAR, cameras, radar, GNSS, or similar sensors Experience developing and applying odometry solutions using multiple sensor modalities Experience designing, tuning, developing, analyzing, and verifying Kalman filters, particle filters, or similar state-estimation techniques Experience applying vehicle kinematics and dynamics principles to wheeled vehicle navigation and localization problems Experience developing, testing, or applying visual odometry solutions Experience addressing real-world navigation and localization challenges, including invalid sensor data, packet loss, communication latency, image degradation, and similar operational conditions. Experience supporting navigation or localization systems through multiple phases of the product lifecycle, including development, testing, integration, and operational support Strong C++ and Python software development skills Experience developing software tools for localization, perception, sensor-fusion tuning, performance analysis, and debugging Experience with extraterrestrial rover navigation systems, planetary mobility systems, or other autonomous robotic exploration platforms Experience working with GNC-related sensors and associated error characteristics, including IMUs, star trackers, LiDAR, cameras, radar, GNSS receivers, and similar devices Benefits and Perks Join a team of best-in-class engineers building the foundation of planetary surface exploration Equity ownership in the company Comprehensive health benefits, including medical, dental, vision, and mental health support 401(k) plan with company match Flexible PTO and parental leave Home office set up reimbursement Weekly lunch stipend, plus complimentary snacks and beverages on-site Once a month social hour on-site with food and drinks
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role From day one, you'll be hands-on with our integrated satellite-level test campaign, diving deep into the K2 bus and laying the foundation for what comes next. Within your first few months, you'll help define how we operate our first mission - shaping the tools, systems, and philosophy behind Mission Operations. As we move toward launch, you'll be at the heart of it all. Over the following year, your impact will grow: evolving our playbook from that first mission, scaling it to support multi-satellite operations, and ultimately pioneering the systems needed for full constellation control. The path to operating dozens-or hundreds-of satellites will be yours to help chart. The success of our constellations will depend on the foundations you help build. Responsibilities Define and operationalize our Mission operations concept for the first satellite mission, including procedures, tools, and real-time support systems Develop telemetry monitoring strategies, fault response frameworks, and command plans for pre-launch, LEOP, and nominal operations Collaborate closely with systems, software, and hardware teams to ensure operational readiness across all spacecraft subsystems Drive the roadmap for mission operations tooling, ground segment workflows, and long-term constellation management Serve as a key operator during on-orbit operations, responsible for real-time decision-making and coordination Operate spacecraft (interpret telemetry, send commands) during system tests at the factory, test facilities, launch sites, and during pre-launch operations Interface with customers to scope testing performed on their payloads, based on expected functions and failure modes of interest Assess risks associated with different integration and test approaches, justify test reductions and optimize vehicle build/test flows for at-rate production Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 10+ years of experience in an operations/integration/automation engineering role including 4 years of direct experience operating satellites on-orbit Experience testing and troubleshooting spacecraft and their related components and systems, including subsystem checkouts and system acceptance testing Familiarity with mission operations concepts such as LEOP, telemetry, commanding, fault protection, and anomaly resolution Experience building or contributing to custom tooling for telemetry, analysis, data pipelines, or operational dashboards Background in designing or scaling operational architectures for fleets or constellations Experience with scripting or automation tools (e.g. Python, Rust) Excellent conflict resolution and negotiation skills Nice to Have Hands-on experience with HITL or Flatsat software verification testbeds Experience working with GAaaS providers. Experience with Linux systems Experience managing contractual interfaces (e.g. customer, launch vehicle) Compensation and Benefits Base salary range for this role is $180,000 - $210,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
09/20/2026
Full time
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role From day one, you'll be hands-on with our integrated satellite-level test campaign, diving deep into the K2 bus and laying the foundation for what comes next. Within your first few months, you'll help define how we operate our first mission - shaping the tools, systems, and philosophy behind Mission Operations. As we move toward launch, you'll be at the heart of it all. Over the following year, your impact will grow: evolving our playbook from that first mission, scaling it to support multi-satellite operations, and ultimately pioneering the systems needed for full constellation control. The path to operating dozens-or hundreds-of satellites will be yours to help chart. The success of our constellations will depend on the foundations you help build. Responsibilities Define and operationalize our Mission operations concept for the first satellite mission, including procedures, tools, and real-time support systems Develop telemetry monitoring strategies, fault response frameworks, and command plans for pre-launch, LEOP, and nominal operations Collaborate closely with systems, software, and hardware teams to ensure operational readiness across all spacecraft subsystems Drive the roadmap for mission operations tooling, ground segment workflows, and long-term constellation management Serve as a key operator during on-orbit operations, responsible for real-time decision-making and coordination Operate spacecraft (interpret telemetry, send commands) during system tests at the factory, test facilities, launch sites, and during pre-launch operations Interface with customers to scope testing performed on their payloads, based on expected functions and failure modes of interest Assess risks associated with different integration and test approaches, justify test reductions and optimize vehicle build/test flows for at-rate production Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 10+ years of experience in an operations/integration/automation engineering role including 4 years of direct experience operating satellites on-orbit Experience testing and troubleshooting spacecraft and their related components and systems, including subsystem checkouts and system acceptance testing Familiarity with mission operations concepts such as LEOP, telemetry, commanding, fault protection, and anomaly resolution Experience building or contributing to custom tooling for telemetry, analysis, data pipelines, or operational dashboards Background in designing or scaling operational architectures for fleets or constellations Experience with scripting or automation tools (e.g. Python, Rust) Excellent conflict resolution and negotiation skills Nice to Have Hands-on experience with HITL or Flatsat software verification testbeds Experience working with GAaaS providers. Experience with Linux systems Experience managing contractual interfaces (e.g. customer, launch vehicle) Compensation and Benefits Base salary range for this role is $180,000 - $210,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role From your very first day, you'll be hands-on with real spacecraft - leading integrated test campaigns, mastering the satellite bus, and working with world-class RE teams to validate system health. You'll then carry that experience into Mission Operations, where you'll command vehicles from the moment they leave the pad through the earliest moments in orbit. As we scale our fleet, you'll become an architect of on-orbit operations: designing the playbooks, tools, and systems needed to fly dozens, then hundreds, of satellites. This role is your chance to directly shape how we operate an entire space constellation. Responsibilities Author test procedures (manual and automated) used to confirm spacecraft hardware and software flight worthiness Lead high-visibility integration campaigns for development and flight hardware Operate spacecraft (interpret telemetry, send commands) during system tests at the factory, test facilities, launch sites, and during pre-launch operations Serve as a key operator during on-orbit operations, responsible for real-time decision-making and coordination Interface with customers to scope testing performed on their payloads, based on expected functions and failure modes of interest Identify and elevate off-nominal conditions during test, and drive issues to resolution by engaging with the wider engineering team Clearly communicate status, needs, and risks to the entire K2 Space team (and payload providers) during high-intensity test operations Assess risks associated with different integration and test approaches, and clearly communicate mitigations and trade-offs Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 1+ years of experience in an integration/test/automation engineering role (includes internships and design/build/compete extracurricular projects) Competency with analog and digital circuits, sensors/instrumentation, and software Familiarity with basic RF, fluids, statics and mechanics, and data acquisition systems Nice to Have Experience testing and troubleshooting spacecraft and their related components and systems, including subsystem checkouts and system acceptance testing Familiarity with mission operations concepts such as LEOP, telemetry, commanding, fault protection, and anomaly resolution Experience working in a clean room and with ESD-sensitive equipment Experience operating vehicles in a mission or production setting Hands-on experience with HITL or Flatsat software verification testbeds Proficient in Python and/or Rust Experience with Linux systems Excellent conflict resolution and negotiation skills Compensation and Benefits: Base salary range for this role is $100,000 - $150,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
09/20/2026
Full time
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role From your very first day, you'll be hands-on with real spacecraft - leading integrated test campaigns, mastering the satellite bus, and working with world-class RE teams to validate system health. You'll then carry that experience into Mission Operations, where you'll command vehicles from the moment they leave the pad through the earliest moments in orbit. As we scale our fleet, you'll become an architect of on-orbit operations: designing the playbooks, tools, and systems needed to fly dozens, then hundreds, of satellites. This role is your chance to directly shape how we operate an entire space constellation. Responsibilities Author test procedures (manual and automated) used to confirm spacecraft hardware and software flight worthiness Lead high-visibility integration campaigns for development and flight hardware Operate spacecraft (interpret telemetry, send commands) during system tests at the factory, test facilities, launch sites, and during pre-launch operations Serve as a key operator during on-orbit operations, responsible for real-time decision-making and coordination Interface with customers to scope testing performed on their payloads, based on expected functions and failure modes of interest Identify and elevate off-nominal conditions during test, and drive issues to resolution by engaging with the wider engineering team Clearly communicate status, needs, and risks to the entire K2 Space team (and payload providers) during high-intensity test operations Assess risks associated with different integration and test approaches, and clearly communicate mitigations and trade-offs Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 1+ years of experience in an integration/test/automation engineering role (includes internships and design/build/compete extracurricular projects) Competency with analog and digital circuits, sensors/instrumentation, and software Familiarity with basic RF, fluids, statics and mechanics, and data acquisition systems Nice to Have Experience testing and troubleshooting spacecraft and their related components and systems, including subsystem checkouts and system acceptance testing Familiarity with mission operations concepts such as LEOP, telemetry, commanding, fault protection, and anomaly resolution Experience working in a clean room and with ESD-sensitive equipment Experience operating vehicles in a mission or production setting Hands-on experience with HITL or Flatsat software verification testbeds Proficient in Python and/or Rust Experience with Linux systems Excellent conflict resolution and negotiation skills Compensation and Benefits: Base salary range for this role is $100,000 - $150,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
09/20/2026
Full time
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
09/20/2026
Full time
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
Job Description Job Description Stefanini Group is hiring! Stefanini is looking for an Air Intake Systems Engineer, Auburn Hills, MI For quick apply, please reach out to Lovkesh Bharti at 248-727- 2506/ We are looking for candidate who will design, develop, and validate air intake systems for internal combustion engine and hybrid electrified vehicles. Components may include various types of low-pressure clean- and dirty-side ducts, air cleaners, make-up air hoses, resonators, air filters, brackets, and other related items. High-pressure charge ducts may also be included. Responsibilities Responsibilities include early packaging, design, and execution of components to meet air intake system, engine, and vehicle-level functional objectives. Key activities include: Coordinating CAD design, CAE, prototyping, and physical testing.Documenting design, analysis, prototyping, and testing activities.Supporting sourcing activities, depending on program assignments.Coordinating and tracking supplier progress after sourcing to ensure part maturity and program milestones are achieved.Applying best-practice designs and methodologies, including Design Failure Mode and Effects Analysis (DFMEA) and Design Validation Plans and Reports (DVP&Rs), to minimize risk.Providing occasional onsite support at applicable engine and/or vehicle assembly plants.Supporting quality concerns after vehicle launch.Validating process changes.Supporting technical cost-reduction and value-optimization activities. Experience Required Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, or an equivalent field from an ABET-accredited program.Five or more years of experience with air intake systems or related engine- and vehicle-level testing, including NVH, Rise-Over Ambient, water fording, or similar testing.Experience with plastics manufacturing processes and tool design, particularly injection molding and blow-molding technologies.Experience leading and managing suppliers, including coordinating supplier deliverables and program milestones.Ability to manage multiple concurrent activities in a fast-paced engineering environment.Working knowledge of UG/NX CAD systems.Familiarity with powertrain software and controls.Knowledge of Client systems and processes.Green Belt certification or equivalent experience with proactive and/or reactive Design for Six Sigma (DFSS) quality tools.Willingness to travel domestically and internationally, generally between the United States, Canada, and Mexico, to supplier locations, corporate vehicle or engine assembly plants, proving grounds, and/or technical centers. Skills Required Working knowledge of air intake systems and components. Ability to proactively communicate with teammates, stakeholders, and supervisors.Ability to work effectively and independently in a remote or hybrid workplace.General knowledge of CAD design.General knowledge of spreadsheets and presentation development.Ability to create and apply component- and system-level DFMEAs and DVP&Rs. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
09/20/2026
Full time
Job Description Job Description Stefanini Group is hiring! Stefanini is looking for an Air Intake Systems Engineer, Auburn Hills, MI For quick apply, please reach out to Lovkesh Bharti at 248-727- 2506/ We are looking for candidate who will design, develop, and validate air intake systems for internal combustion engine and hybrid electrified vehicles. Components may include various types of low-pressure clean- and dirty-side ducts, air cleaners, make-up air hoses, resonators, air filters, brackets, and other related items. High-pressure charge ducts may also be included. Responsibilities Responsibilities include early packaging, design, and execution of components to meet air intake system, engine, and vehicle-level functional objectives. Key activities include: Coordinating CAD design, CAE, prototyping, and physical testing.Documenting design, analysis, prototyping, and testing activities.Supporting sourcing activities, depending on program assignments.Coordinating and tracking supplier progress after sourcing to ensure part maturity and program milestones are achieved.Applying best-practice designs and methodologies, including Design Failure Mode and Effects Analysis (DFMEA) and Design Validation Plans and Reports (DVP&Rs), to minimize risk.Providing occasional onsite support at applicable engine and/or vehicle assembly plants.Supporting quality concerns after vehicle launch.Validating process changes.Supporting technical cost-reduction and value-optimization activities. Experience Required Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, or an equivalent field from an ABET-accredited program.Five or more years of experience with air intake systems or related engine- and vehicle-level testing, including NVH, Rise-Over Ambient, water fording, or similar testing.Experience with plastics manufacturing processes and tool design, particularly injection molding and blow-molding technologies.Experience leading and managing suppliers, including coordinating supplier deliverables and program milestones.Ability to manage multiple concurrent activities in a fast-paced engineering environment.Working knowledge of UG/NX CAD systems.Familiarity with powertrain software and controls.Knowledge of Client systems and processes.Green Belt certification or equivalent experience with proactive and/or reactive Design for Six Sigma (DFSS) quality tools.Willingness to travel domestically and internationally, generally between the United States, Canada, and Mexico, to supplier locations, corporate vehicle or engine assembly plants, proving grounds, and/or technical centers. Skills Required Working knowledge of air intake systems and components. Ability to proactively communicate with teammates, stakeholders, and supervisors.Ability to work effectively and independently in a remote or hybrid workplace.General knowledge of CAD design.General knowledge of spreadsheets and presentation development.Ability to create and apply component- and system-level DFMEAs and DVP&Rs. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
Job Description Job Description Stefanini Group is hiring! Stefanini is looking for Vehicle Software Integration Test Engineer, Dearborn, MI For quick apply, please reach out to Saurabh Kapoor at 248-582- 6559/ We are seeking a detail-oriented and technically versatile Vehicle Software Integration Test Engineer to join our team focused on Human-Machine Interface (HMI), user experience (UX), and user interface (UI) validation for next-generation vehicle systems. In this role, you will bridge hardware and software domains, working hands-on with in-vehicle systems and TDKs by utilizing debugging tools and performing software updates to support pre-production HMI quality validation initiatives. You will play a key role in ensuring our setups are ready to perform HMI validation testing reliably. Responsibilities Set up testing validation requests for HMI, UX, and UI features across vehicle infotainment systems on TDKs and vehicles.Utilize in-house diagnostic tools and Android Debug Bridge (ADB) to debug and set up testing environments on vehicles and TDKs.Work cross-functionally with software teams to set up and execute Python scripts to enable simulations supporting HMI testing and the software download process.Support hardware and software integration efforts through seamless communication between embedded control units by ensuring the correct software levels are flashed and appropriate DIDs are enabled for HMI testing in vehicle and TDK setups.Apply working knowledge of CAN hardware used for feature signal simulation, including recording CAN information to support the deployment and monitoring of CAN signals across vehicle networks.Break down complex system issues into fundamental root causes; troubleshoot concerns spanning both hardware and software layers; then retest to confirm resolution and enablement of HMI testing.Maintain an overall understanding of vehicle architecture and communication.Adapt quickly to shifting priorities, evolving test environments, and changing management or project demands in a fast-paced development setting.Perform HMI validation testing and report quality assurance concerns.Document software methodologies and procedures by working cross- functionally.Travel occasionally between Mexico and California. Skills Required User Acceptance Testing - Perform HMI testing and validate software implementation against design releases. Software Documentation - Document processes and procedures related to updating vehicles and benches. Analytical Skills - Ability to break down configurations and simplify testing procedures and setup. Technical Troubleshooting - Utilize the ADB debugging bridge and general system integration debugging to solve testing requirements. Troubleshooting / Problem Solving - Review ECU configurations and identify root causes related to HMI testing. Test Integration Testing - Set up vehicles and TDKs with the appropriate hardware and software to test prototype designs and evaluate HMI content displayed on the screen. Hardware Experience - Basic understanding of SOA communication and the ability to read wiring diagrams and connectors. Software Communications - Other - Ability to utilize in-house debugging tools to set configuration bits and send CAN messages over a CAN bus to support HMI evaluation. Skills Preferred User Experience - Understanding of Difficult to Use (DTU) experiences within the digital space. User Interface - Understanding of how interactions within the digital space trigger and activate features, as well as their purpose. HMI Design - Understanding of how designs are created in the digital space and their influence on UX and UI. Prototyping - Ability to swap ECUs and manipulate wire harnesses to integrate prototype hardware. Experience Required 5+ years in the automotive industry, 3 years of software testing experience.Experience with ADB (Android Debug Bridge) for in-vehicle system debugging, or strong aptitude to quickly learn.Proficiency in Python for scripting, automation, and test tooling.Solid understanding of hardware-software integration principles in embedded or automotive systems.Experience with CAN bus interfacing hardware and CAN network signal deployment and monitoring, such as CAN analyzers, Vector tools, or similar platforms. Experience Preferred Strong analytical and root-cause troubleshooting skills, with the ability to systematically break problems down to fundamentals.Excellent adaptability, communication, and time-management skills in a dynamic, deadline-driven environment.Prior experience in HMI, UX, or UI validation testing for automotive or embedded consumer products preferred. Education Required Bachelor's Degree Education Preferred Master's Degree About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
09/20/2026
Full time
Job Description Job Description Stefanini Group is hiring! Stefanini is looking for Vehicle Software Integration Test Engineer, Dearborn, MI For quick apply, please reach out to Saurabh Kapoor at 248-582- 6559/ We are seeking a detail-oriented and technically versatile Vehicle Software Integration Test Engineer to join our team focused on Human-Machine Interface (HMI), user experience (UX), and user interface (UI) validation for next-generation vehicle systems. In this role, you will bridge hardware and software domains, working hands-on with in-vehicle systems and TDKs by utilizing debugging tools and performing software updates to support pre-production HMI quality validation initiatives. You will play a key role in ensuring our setups are ready to perform HMI validation testing reliably. Responsibilities Set up testing validation requests for HMI, UX, and UI features across vehicle infotainment systems on TDKs and vehicles.Utilize in-house diagnostic tools and Android Debug Bridge (ADB) to debug and set up testing environments on vehicles and TDKs.Work cross-functionally with software teams to set up and execute Python scripts to enable simulations supporting HMI testing and the software download process.Support hardware and software integration efforts through seamless communication between embedded control units by ensuring the correct software levels are flashed and appropriate DIDs are enabled for HMI testing in vehicle and TDK setups.Apply working knowledge of CAN hardware used for feature signal simulation, including recording CAN information to support the deployment and monitoring of CAN signals across vehicle networks.Break down complex system issues into fundamental root causes; troubleshoot concerns spanning both hardware and software layers; then retest to confirm resolution and enablement of HMI testing.Maintain an overall understanding of vehicle architecture and communication.Adapt quickly to shifting priorities, evolving test environments, and changing management or project demands in a fast-paced development setting.Perform HMI validation testing and report quality assurance concerns.Document software methodologies and procedures by working cross- functionally.Travel occasionally between Mexico and California. Skills Required User Acceptance Testing - Perform HMI testing and validate software implementation against design releases. Software Documentation - Document processes and procedures related to updating vehicles and benches. Analytical Skills - Ability to break down configurations and simplify testing procedures and setup. Technical Troubleshooting - Utilize the ADB debugging bridge and general system integration debugging to solve testing requirements. Troubleshooting / Problem Solving - Review ECU configurations and identify root causes related to HMI testing. Test Integration Testing - Set up vehicles and TDKs with the appropriate hardware and software to test prototype designs and evaluate HMI content displayed on the screen. Hardware Experience - Basic understanding of SOA communication and the ability to read wiring diagrams and connectors. Software Communications - Other - Ability to utilize in-house debugging tools to set configuration bits and send CAN messages over a CAN bus to support HMI evaluation. Skills Preferred User Experience - Understanding of Difficult to Use (DTU) experiences within the digital space. User Interface - Understanding of how interactions within the digital space trigger and activate features, as well as their purpose. HMI Design - Understanding of how designs are created in the digital space and their influence on UX and UI. Prototyping - Ability to swap ECUs and manipulate wire harnesses to integrate prototype hardware. Experience Required 5+ years in the automotive industry, 3 years of software testing experience.Experience with ADB (Android Debug Bridge) for in-vehicle system debugging, or strong aptitude to quickly learn.Proficiency in Python for scripting, automation, and test tooling.Solid understanding of hardware-software integration principles in embedded or automotive systems.Experience with CAN bus interfacing hardware and CAN network signal deployment and monitoring, such as CAN analyzers, Vector tools, or similar platforms. Experience Preferred Strong analytical and root-cause troubleshooting skills, with the ability to systematically break problems down to fundamentals.Excellent adaptability, communication, and time-management skills in a dynamic, deadline-driven environment.Prior experience in HMI, UX, or UI validation testing for automotive or embedded consumer products preferred. Education Required Bachelor's Degree Education Preferred Master's Degree About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
Job Description Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time. You Will Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery. Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in. Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA. Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates. Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams. Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing. Champion tools to capture the single source of truth for program work, ensuring consistency across programs. Build scalable tracking mechanisms and systematic processes that work at fleet scale. Technical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area. Self-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead. Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations. Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green. Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones. Required Qualifications: 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs. Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems). Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking. Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week. Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS). Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project. Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making. Preferred Qualifications: Familiarity with embedded systems and software development and the constraints that come with it. Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus. Experience establishing or scaling a triage process for field issues across engineering teams. Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline. The US yearly salary range for this role is: $171,000 - $243,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/20/2026
Full time
Job Description Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time. You Will Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery. Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in. Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA. Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates. Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams. Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing. Champion tools to capture the single source of truth for program work, ensuring consistency across programs. Build scalable tracking mechanisms and systematic processes that work at fleet scale. Technical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area. Self-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead. Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations. Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green. Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones. Required Qualifications: 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs. Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems). Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking. Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week. Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS). Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project. Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making. Preferred Qualifications: Familiarity with embedded systems and software development and the constraints that come with it. Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus. Experience establishing or scaling a triage process for field issues across engineering teams. Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline. The US yearly salary range for this role is: $171,000 - $243,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work • Reinvent yourself: At Bosch, you will evolve. • Discover new directions : At Bosch, you will find your place. • Balance your life: At Bosch, your job matches your lifestyle. • Celebrate success: At Bosch, we celebrate you. • Be yourself: At Bosch, we value values. • Shape tomorrow: At Bosch, you change lives. Job Description Role Overview We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers. You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production. Key Responsibilities Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management Architect multi-model/LLM orchestration and on-device model adaptation (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power) Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable feature delivery Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness Drive technical program execution across architecture, AI, and integration workstreams - including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication - to ensure on-time, high-quality production readiness Qualifications Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development. Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms. Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments. Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry. Hands-on experience with LLM/generative-AI orchestration and model fine-tuning/adaptation in real-time, resource-constrained environments. Strong understanding of cloud platforms architecture and edge-cloud orchestration, and proven ability to lead cross-functional engineering teams. Preferred Qualifications Knowledge of automotive cockpit systems (voice assistants & personalization) Experience with on-device voice pipelines (ASR/TTS) and inference-serving stacks on various SoC/processors Exposure to user experience design for in-vehicle systems Key Competencies Strong technical leadership and architectural thinking Ability to balance innovation with production readiness Excellent communication and stakeholder management skills Strategic mindset with hands-on execution capability Passion for shaping the future of AI-defined vehicles What You'll Work On AI-powered assistants that understand driver intent and context Personalized, self-learning cockpit experiences Seamless integration of infotainment, productivity, and safety features Next-gen human-machine interfaces (voice, gesture, multimodal AI) Additional Information All your information will be kept confidential according to EEO guidelines. By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled. BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World In Motion) Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
09/20/2026
Full time
Job Description Job Description Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work • Reinvent yourself: At Bosch, you will evolve. • Discover new directions : At Bosch, you will find your place. • Balance your life: At Bosch, your job matches your lifestyle. • Celebrate success: At Bosch, we celebrate you. • Be yourself: At Bosch, we value values. • Shape tomorrow: At Bosch, you change lives. Job Description Role Overview We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers. You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production. Key Responsibilities Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management Architect multi-model/LLM orchestration and on-device model adaptation (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power) Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable feature delivery Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness Drive technical program execution across architecture, AI, and integration workstreams - including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication - to ensure on-time, high-quality production readiness Qualifications Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development. Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms. Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments. Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry. Hands-on experience with LLM/generative-AI orchestration and model fine-tuning/adaptation in real-time, resource-constrained environments. Strong understanding of cloud platforms architecture and edge-cloud orchestration, and proven ability to lead cross-functional engineering teams. Preferred Qualifications Knowledge of automotive cockpit systems (voice assistants & personalization) Experience with on-device voice pipelines (ASR/TTS) and inference-serving stacks on various SoC/processors Exposure to user experience design for in-vehicle systems Key Competencies Strong technical leadership and architectural thinking Ability to balance innovation with production readiness Excellent communication and stakeholder management skills Strategic mindset with hands-on execution capability Passion for shaping the future of AI-defined vehicles What You'll Work On AI-powered assistants that understand driver intent and context Personalized, self-learning cockpit experiences Seamless integration of infotainment, productivity, and safety features Next-gen human-machine interfaces (voice, gesture, multimodal AI) Additional Information All your information will be kept confidential according to EEO guidelines. By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled. BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World In Motion) Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
Job Description Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time. You Will Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery. Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in. Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA. Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates. Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams. Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing. Champion tools to capture the single source of truth for program work, ensuring consistency across programs. Build scalable tracking mechanisms and systematic processes that work at fleet scale. Technical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area. Self-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead. Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations. Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green. Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones. Required Qualifications: 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs. Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems). Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking. Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week. Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS). Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project. Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making. Preferred Qualifications: Familiarity with embedded systems and software development and the constraints that come with it. Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus. Experience establishing or scaling a triage process for field issues across engineering teams. Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline. The US yearly salary range for this role is: $171,000 - $243,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/20/2026
Full time
Job Description Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Lead Technical Program Manager - Platform Integration owns program-level execution across Waabi's platform programs, with a focus on cross-functional integration between hardware development, onboard software, embedded systems, autonomy, safety, and operations. You are the connective tissue between teams that operate on fundamentally different cadences: embedded software with kanban-based delivery, autonomy research with probabilistic timelines, and safety validation with methodical gate-based requirements. You will surface where those cadences collide, identify gaps in requirements and execution, map the critical path accurately, and ensure risks are visible and owned so we maintain velocity and deliver on time. You Will Define and maintain integrated platform program plans covering key milestones, cross-team dependencies, and ensure on-time delivery. Ensure all stakeholder inputs are captured and integrated into program plans before design commitments lock in. Build and enforce dependency maps across Hardware, Software, Systems and Safety, and Ops, identify the critical path, and ensure every dependency has an owner and an ETA. Own reporting into executive forums. Surface risks early with data-backed Path to Green options, not just status updates. Track system VnV and overall test campaigns, ensuring test coverage, sign-off readiness, and milestone alignment across teams. Build cross-functional roadmaps that give hardware, software, and autonomy a shared line of sight on interdependencies and sequencing. Champion tools to capture the single source of truth for program work, ensuring consistency across programs. Build scalable tracking mechanisms and systematic processes that work at fleet scale. Technical breadth. Ask the right questions, spot unrealistic assumptions in a plan, and know when a dependency is a real blocker versus a process gap. You can engage with engineers across hardware, embedded software, autonomy, and safety without needing to be a domain expert in any one area. Self-starter who builds processes from scratch. Build processes and iterate based on what actually works and impose structure without creating overhead. Cross-functional influencer. Work on highly cross functional programs spanning embedded software, onboard software, hardware, autonomy, safety, and operations. Risk-first mindset. Surface problems early, escalate without hesitation, and always arrive with options. You can dive deep and bring clarity to status updates and a Path to Green. Comfort with ambiguity. Thrive in bringing clarity and structure to ambiguity and convert ambitious goals into programs with hard success criteria, DRIs, and trackable milestones. Required Qualifications: 6+ years of technical program management experience, with a strong focus on cross-functional hardware, software and systems integration programs. Demonstrated experience working across teams with meaningfully different development cadences (e.g., robotics, autonomous vehicles, industrial automation, IoT, or defense systems). Proven ability to build cross-functional program structure from scratch: dependency maps, risk registries, executive reporting, and milestone tracking. Strong written and verbal communication. You can write a crisp one-pager for an executive audience and facilitate a working-level dependency review with engineers in the same week. Experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS). Hands-on experience with program tracking tools like Jira, Asana and Microsoft Project. Demonstrated use of AI tools to improve program visibility, reduce manual overhead, or accelerate decision-making. Preferred Qualifications: Familiarity with embedded systems and software development and the constraints that come with it. Familiarity with ML development workflows and an understanding of how model iteration cadences interact with hardware and software delivery timelines. Experience working alongside ML or AI research teams in a program capacity is a plus. Experience establishing or scaling a triage process for field issues across engineering teams. Background in systems engineering, computer engineering, electrical engineering, or a related technical discipline. The US yearly salary range for this role is: $171,000 - $243,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, Washington
Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Senior Phased Array Architect, you will lead critical efforts to design and deliver next-generation antenna systems that will redefine how people connect to the internet. you will: - Define and lead the architectural vision for advanced phased array antenna systems, ensuring they align with performance, scalability, and reliability goals. - Serve as the technical authority on phased array systems, providing strategic input on program decisions and long-term technology roadmaps. - Drive system-level design and optimization, creating blueprints that guide RF, digital, and hardware teams across the organization. - Oversee system integration, ensuring seamless interaction between phased array systems, RF front-ends, and digital beamforming architectures. - Guide cross-functional teams-including RF, software, and systems engineers-to implement designs that meet stringent performance, power, and thermal targets. - Collaborate with product management, supply chain, and operations to ensure architectural decisions align with business goals and production realities. - Set architectural direction for manufacturability and testability, ensuring designs are robust, scalable, and ready for high-volume production. - Mentor and develop junior engineers, cultivating a team culture of technical excellence and innovation. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent - 7+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience leading cross-functional teams to deliver products and projects on tight deadlines - Experience in phased array design principles, including beamforming, steering, and calibration. - Experience with RF front-end design, high-speed digital systems, and signal integrity. - Experience with system modeling tools and architectural design methodologies. PREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent - Experience in Space Vehicle/Satellite Operations, Space Communications or related industry - Experience in wireless system design and architecture, system integration, and RF system analysis - Experience in high-volume manufacturing environments - Familiarity with EM simulation tools (e.g., CST, HFSS, ADS) and system-level modeling platforms. - Knowledge of at least one modern programming or scripting language such as C, C++, Python, or MATLAB Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 137 700.00 USD annually
09/20/2026
Full time
Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Senior Phased Array Architect, you will lead critical efforts to design and deliver next-generation antenna systems that will redefine how people connect to the internet. you will: - Define and lead the architectural vision for advanced phased array antenna systems, ensuring they align with performance, scalability, and reliability goals. - Serve as the technical authority on phased array systems, providing strategic input on program decisions and long-term technology roadmaps. - Drive system-level design and optimization, creating blueprints that guide RF, digital, and hardware teams across the organization. - Oversee system integration, ensuring seamless interaction between phased array systems, RF front-ends, and digital beamforming architectures. - Guide cross-functional teams-including RF, software, and systems engineers-to implement designs that meet stringent performance, power, and thermal targets. - Collaborate with product management, supply chain, and operations to ensure architectural decisions align with business goals and production realities. - Set architectural direction for manufacturability and testability, ensuring designs are robust, scalable, and ready for high-volume production. - Mentor and develop junior engineers, cultivating a team culture of technical excellence and innovation. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent - 7+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience leading cross-functional teams to deliver products and projects on tight deadlines - Experience in phased array design principles, including beamforming, steering, and calibration. - Experience with RF front-end design, high-speed digital systems, and signal integrity. - Experience with system modeling tools and architectural design methodologies. PREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent - Experience in Space Vehicle/Satellite Operations, Space Communications or related industry - Experience in wireless system design and architecture, system integration, and RF system analysis - Experience in high-volume manufacturing environments - Familiarity with EM simulation tools (e.g., CST, HFSS, ADS) and system-level modeling platforms. - Knowledge of at least one modern programming or scripting language such as C, C++, Python, or MATLAB Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 137 700.00 USD annually
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems Sector, Eastern Region Engineering is hiring a qualified Principal Systems Engineer to support missions within the Space Superiority Division located in Dulles, VA. The job responsibilities will be as an individual-contributor and deliverable/product lead within a multi-disciplinary engineering team, specifically supporting functions related to Fault Management and System Autonomy (FMSA) for space systems. Duties/Responsibilities: Perform traditional Systems Engineering functions, including requirements synthesis and flow-down, verification/validation planning, system trades study support, systems analysis, coordination of design efforts, and management of technical budgets & interface definitions. The application of these systems engineering functions will be in the context of fault management, system autonomy. The candidate must be able to assist in the formulation of system design, definition of concept of operations, and systems analysis for failure modes and effects, including their identification and mitigation through autonomous or operational controls. Designing, implementing, and validating Fault Management and System Autonomy Flight Software using flight-like simulations and flight hardware. Must be knowledgeable in spacecraft subsystem design, spacecraft testing, flight software best practices, and mission operations. Candidate may be called on to assist in new business activities, such as conceptual design and analysis for proposals and funded studies and may include authoring sections for both. Presentation skills and the ability to communicate complex technical concepts to either technical or nontechnical audiences is required. Basic Qualifications: Bachelors of Science degree in technical field + 5 years of experience, or Masters of Science degree in technical field + 3 years of experience; or a PhD Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Preferred Qualifications: Failure analysis or fault management technical experience Experience defining requirements & interfaces Understanding of spacecraft integration & test, launch, and mission operations Experience developing verification documentation Experience with architecture development Experience with spacecraft mission operations Familiarity with electrical & computer systems Familiarity with command and telemetry databases Primary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/20/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems Sector, Eastern Region Engineering is hiring a qualified Principal Systems Engineer to support missions within the Space Superiority Division located in Dulles, VA. The job responsibilities will be as an individual-contributor and deliverable/product lead within a multi-disciplinary engineering team, specifically supporting functions related to Fault Management and System Autonomy (FMSA) for space systems. Duties/Responsibilities: Perform traditional Systems Engineering functions, including requirements synthesis and flow-down, verification/validation planning, system trades study support, systems analysis, coordination of design efforts, and management of technical budgets & interface definitions. The application of these systems engineering functions will be in the context of fault management, system autonomy. The candidate must be able to assist in the formulation of system design, definition of concept of operations, and systems analysis for failure modes and effects, including their identification and mitigation through autonomous or operational controls. Designing, implementing, and validating Fault Management and System Autonomy Flight Software using flight-like simulations and flight hardware. Must be knowledgeable in spacecraft subsystem design, spacecraft testing, flight software best practices, and mission operations. Candidate may be called on to assist in new business activities, such as conceptual design and analysis for proposals and funded studies and may include authoring sections for both. Presentation skills and the ability to communicate complex technical concepts to either technical or nontechnical audiences is required. Basic Qualifications: Bachelors of Science degree in technical field + 5 years of experience, or Masters of Science degree in technical field + 3 years of experience; or a PhD Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Preferred Qualifications: Failure analysis or fault management technical experience Experience defining requirements & interfaces Understanding of spacecraft integration & test, launch, and mission operations Experience developing verification documentation Experience with architecture development Experience with spacecraft mission operations Familiarity with electrical & computer systems Familiarity with command and telemetry databases Primary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
