Engineering Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation 위치 Sunnyvale, California (+) Show all locations (-) Hide all locations 직무 유형 Full time 게시됨 9 11 2026 Job Requisition

JR-202619949

설명 The Role You will be part of a team that drives systematic and data-driven improvements to the Autonomous Vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation of our AVs. To achieve this objective, we are looking for a highly motivated individual with excellent analytical skills to own end to end execution, methodology improvements and insight articulation/communication to ensure high-quality evaluation and release of our End-to-End ML Stack. In this position, you will work closely with AI/ML Engineers, Simulation Engineers, Systems Engineers, Product Managers to identify, analyze, monitor and prioritize the most important signals to assess performance of our ML based stack leveraging simulation and on-road data and building scalable processes to evaluate compliance to our KPIs. If you're interested in having a major impact on accelerating AV Behavioral Evaluation assessment on ML-driven autonomy through creative problem solving, let's chat! What you'll be doing: Define an AV evaluation process that spans from initial conception through implementation, ensuring it is applied to the release of our end-to-end (E2E) ML stack. Provide hands-on implementation of infrastructure solutions to assess AV performance from ELT tooling at GM from simulation and on-road data. Proactively scope and identify metrics needed to improve our evaluation workflows and devise paths for implementation if not available. Contribute to automated triage strategies for AV deficiencies in an End-to-End stack architecture and present findings to relevant stakeholders. Articulate insights, summaries and recommendations to AV developers and executives based on continuous analysis of AV performance. Define and maintain scalable processes to identify, monitor and improve evaluation KPIs as definition of success of evaluation initiatives. Map and articulate link between continuous improvement processes with the product safety case and compliance with safety standards.

What you must have:

Strong Python and SQL programming Strong skills in high quality SW Development using AI tools Prior knowledge and implementation of ELT pipelines for product quality analysis Experience with GitHub and Jira or equivalent tools Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome Proven track record of analytical and systems engineering skills while dealing with complex systems and ambiguous AI functions Proven track record of root cause analysis in complex SW/HW systems Familiarity with analytical methods for driving behavioral analysis Ability to creatively problem solve with limited supervision Motivated by a fast paced, challenging environment with high expectations and quick turnarounds Ability to learn quickly, starting with little information and quickly becoming an expert in your domain Strong cross functional communication and collaboration skills Proven experience at communicating data driven decisions to leadership Passionate about robotics/AI complexities BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience Bonus Points! Experience with AVs and/or Production grade robotics developments and AV/ADAS systems Experience with statistical methods for product evaluation and risk assessment Experience with developing data driven metrics

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role: is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

•

Bonus Potential:

An incentive pay program offers payouts based on company performance, job level, and individual performance.

•

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more 다양성 정보 General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내 를 참고하십시오. 공평한 취업 기회 선언 (미국) General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 숙소 (미국 및 캐나다) General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 Careers.

Accommodations@GM.com 으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요. 지금 신청하세요 구하다 저장됨 [Open sharing options] [Share] 관련 작업 구하다 저장됨 Sunnyvale, California Staff Software Engineer - Autonomy Evaluation 구하다 저장됨 Sunnyvale, California Senior Software Systems Engineer - Autonomous Vehicles 구하다 저장됨 Sunnyvale, California Senior Software Engineer, Autonomy Evaluation 엔지니어링 Team 처음부터 끝까지 우리 엔지니어링 팀은 모든 경험에서 가능한 것의 한계에 도전합니다.