Evaluation Systems Engineer, Autonomous Vehicles

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 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 A 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. Apply tot his job Apply To this Job