Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation

General Motors; Sunnyvale (CA); On-site; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health & wellbeing benefits

GM vehicle discounts

Tuition assistance

Job summary

General Motors seeks a data-driven engineer to own end-to-end AV evaluation, designing robust validation processes and scalable KPIs. You will collaborate with AI/ML, simulation, systems, and product teams to extract insights from simulation and on-road data, driving improvements to the ML stack and safety compliance.

The role requires strong Python/SQL, ELT experience, and cross-functional collaboration. Expect a fast-paced environment with leadership-level communication and an impact on

Qualifications

• BS, MS or PhD in Engineering or related discipline or equivalent combination education and experience.
• Strong Python and SQL programming and high quality software development for AI tools.
• Experience with ELT pipelines for product quality analysis and data-driven evaluation methods.

Responsibilities

• Define an AV evaluation process that spans from conception through implementation for end-to-end ML stack releases.
• Provide hands-on implementation of infrastructure solutions to assess AV performance using simulation and on-road data.
• Identify metrics to improve evaluation workflows and plan implementation paths.
• Contribute to automated triage strategies for AV deficiencies and present findings to stakeholders.
• Articulate insights and recommendations to AV developers and executives based on ongoing analysis.
• Maintain scalable processes to monitor evaluation KPIs and link them to safety cases and compliance.

Skills

Python

SQL

Software development

ELT pipelines

GitHub

Jira

Root cause analysis

Analytical skills

Cross-functional comms

Data-driven decisions

Robotics/AI interest

Problem solving

End-to-end ownership

Leadership communication

Education

BS/MS/PhD in Engineering or related

Tools

GitHub

Jira

Job description

Job Description

Job Description The 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 be doing:

• 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.

What you must have:

• Strong Python and SQL programming
• Strong skills in high quality SW Development using AI tools
• Prior knowledge and implementation of ELT pipelines for product quality analysis
• Experience with GitHub and Jira or equivalent tools
• Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome
• 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
• Ability to learn quickly, starting with little information and quickly becoming an expert in your domain
• Strong cross functional communication and collaboration skills
• Proven experience at communicating data driven decisions to leadership
• Passionate about robotics/AI complexities
• BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience

Bonus Points!

• Experience with AVs and/or Production grade robotics developments and AV/ADAS systems
• Experience with statistical methods for product evaluation and risk assessment
• Experience with developing data driven metrics

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 $153,200 to $234,100. 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.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

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