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