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Sunnyvale, California, United States • Hybrid
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Develop and prototype strategies to benchmark autonomous vehicle performance and convert validation strategies into production code. Create tools and methods to execute repeatable validation for autonomy software and hardware to ensure safety and performance.
Requires a Master's degree in Computer Science, Engineering, Physics, or Data Science, with proficiency in Python, C++, and SQL. Candidates should have experience in software engineering and the ability to analyze large data sets for AI systems.
Hybrid: This role is categorized as Hybrid/Remote. MI & CA
Role: As a Software Engineer on the Software Validation team within the AV organization, you will play a critical role in the development of methods, tools and processes for the validation of autonomous vehicle behavior. You will leverage your experience in software engineering to convert validation strategies into well-architected and implemented code that analyzes AV behavior. Creating methods an tools to execute comprehensive, repeatable and precise validation for autonomy software and hardware. You will work with a team of engineers to define best practices, raise the bar internally on coding quality, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.
About the Organization: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Behavior Validation team focuses on unlocking software launches and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.
Develop and prototype strategies to benchmark autonomy systems’ performance.
Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles
Utilize performance data gathered from in-simulation, on-bench, on-road testing, to create actionable insights for AI developers to continuously improve the stack performance
Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions
Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI
Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization
Recently completed or completing Master's degree in Spring 2026 in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields
Experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields
Strong skills in utilizing AI to accelerate SW development
Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products
Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions
Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons
Excellent communication skills, capable of switching between high-level and detailed discussions
Proven track record of successful software engineering on a safety-critical projects, especially as it related to verification and validation tools
Experience with robotics, autonomous vehicles, vehicle development, or ADAS development
Experience working with robotics simulation environments
Experience analyzing automotive collision data
Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks
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 $99,400 - $153,900. 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:
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.
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.
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.
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.
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.
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 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.
Amazing people make amazing products. And together, we build the one for every person, purpose and journey.
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html
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