General Motors · 2 days ago
Evaluation Systems Engineer, Autonomous Vehicles
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.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
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
Qualification
Required
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
Preferred
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.
Relocation benefits.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Recent News
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Dallas Morning News
2026-01-07
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