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 experienceWhat 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 systemsCompensation :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