Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation

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

Benefits offered by this job

Health and wellbeing benefits

Retirement savings plan

GM vehicle discounts

Tuition assistance programs

Job summary

General Motors LLC in Sunnyvale, CA seeks a skilled engineer to define and implement an AV evaluation process for the end-to-end ML stack. You will build infrastructure to assess AV performance from ELT tooling, gather metrics, and drive automated triage for AV deficiencies.

You will communicate insights to AV developers and executives while aligning with safety standards. The role requires strong Python/SQL, AI tooling experience, and a track record in end-to-end systems engineering within

Qualifications

• 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.

Responsibilities

• Define an AV evaluation process spanning from conception through implementation for the end-to-end ML stack release.
• Provide hands-on implementation of infrastructure to assess AV performance from ELT tooling, simulation and on-road data.
• Proactively scope metrics to improve evaluation workflows and devise implementation paths.
• Contribute to automated triage strategies for AV deficiencies in an End-to-End stack and present findings to stakeholders.
• Articulate insights and recommendations to AV developers and executives based on continuous AV performance analysis.
• Define and maintain scalable processes to monitor evaluation KPIs and link with safety case and standards.

Skills

Python

SQL

AI tooling

Education

BS/MS/PhD in Engineering

Tools

GitHub

Jira

Job description

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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture.

Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being‑at work and at home‑so you can focus on realizing your ambitions.

Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

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Learn more about:

Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility. Explore our global locations. We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.