Evaluation Systems Engineer, Autonomous VehiclesGeneral Motors • Sunnyvale, California, United States
Evaluation Systems Engineer, Autonomous Vehicles
General Motors
- Sunnyvale, California, United States
- Sunnyvale, California, United States
Über
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 Do:
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.
Your Skills & Abilities:
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
What Will Give You Competitive Edge:
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
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 $125,00 to 191,700. 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.
Remote: This role is based remotely but if you live within a 50‑mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
Relocation: This job may be eligible for relocation benefits.
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Sprachkenntnisse
- English
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