[Remote] Evaluation Systems Engineer, Autonomous Vehicles

Note: The job is a remote job and is open to candidates in USA. General Motors is a leader in automotive innovation, committed to a vision of Zero Crashes, Zero Emissions, and Zero Congestion. The Evaluation Systems Engineer will be responsible for improving the evaluation and validation processes for Autonomous Vehicle software, collaborating with various engineering teams to assess performance and compliance with key performance indicators. Responsibilities • 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. Skills • Strong Python and SQL programming • Prior knowledge and implementation of ELT pipelines for product quality analysis • Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome • Passionate about robotics/AI complexities • 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 • Strong cross functional communication and collaboration skills • Ability to learn quickly, starting with little information and quickly becoming an expert in your domain • Proven experience at communicating data driven decisions to leadership • BS, MS or PhD in Engineering or related discipline or equivalent combination education and experience • Experience with statistical methods for product evaluation and risk assessment • Experience with developing data driven metrics • Experience with GitHub and Jira or equivalent tools • Experience with robotics and AV/ADAS systems Benefits • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. • This job may be eligible for relocation benefits. Company Overview • General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • General Motors has a track record of offering H1B sponsorships, with 599 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job