Staff Software Engineer, Simulation Evaluation

Posted 2 Hours Ago
Be an Early Applicant
Sunnyvale, CA, USA
Hybrid
157K-247K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Design and own large-scale simulation evaluation pipelines and metrics to validate autonomous driving software. Lead cross-functional integration, invent methodologies to quantify simulation trustworthiness, drive technical roadmaps, and present results via dashboards to inform release and safety decisions.
Summary Generated by Built In
Description
The Role:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization:
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
What You'll Do:
  • Architect large-scale evaluation pipelines that quantify the accuracy and reliability of simulation tests used for autonomous vehicle software validation.

  • Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned evaluation products into regular development workflows and release decision processes.

  • Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation testing and evaluation products at scale.

  • Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals.

  • Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.

  • Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team.

What You Must Have:
  • 7+ years of applied experience developing complex evaluation, simulation, or test frameworks.

  • Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.

  • Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.

  • Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders.

  • Bachelor's or higher degree in Computer Science, Engineering, or equivalent experience.

What Will Give You a Competitive Edge:
  • Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.

  • Experience working on test strategies and validation for safety-critical products.

  • A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies.

  • Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).

"Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies."
Compensation:
  • The expected base compensation for this role is: $157,100 - $246,500. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • You also need to include general information about potential commissions, if applicable.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:
  • 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.
Total Rewards | 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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

  • 7+ years developing complex evaluation, simulation, or test frameworks.
  • Proficient in developing Python for production systems, including unit testing and code review.
  • Experience with performance tradeoffs and reliability best practices.
  • Proven cross-team technical leadership and ability to influence architecture and strategy.
  • Strong written and verbal communication and ability to communicate risk and give feedback.
  • Bachelor's or higher degree in Computer Science, Engineering, or equivalent experience.
  • Experience in autonomous driving or high-stakes field robotics.
  • Experience designing, running, and interpreting large-scale simulation and field experiments.
  • Experience on test strategies and validation for safety-critical products.
  • Familiarity with SQL.
  • Familiarity with time-series data analysis.
  • Familiarity with performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).
  • Data-driven curiosity to investigate anomalies and root-cause discrepancies.

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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