Job description

Job Description Description The Simulation group is solving one of self-driving’s most difficult problems: evaluating the performance of the autonomous driving software stack before it reaches public roads. As a software engineer on the SimCore team, you will drive the development of our simulation scenarios that enable high-fidelity and high-performance validation of the autonomy stack, as well as the gym environment for reinforcement learning model training. We are looking for an engineer passionate about providing the best developer experience, and who can effectively drive collaborations across large engineering organizations. This role will lead you to learn the ins and outs of our autonomous driving software stack, simulation frameworks, and RL model training. Required Skills BS, MS, or PhD in Computer Science, Robotics, Machine Learning or equivalent experience 5 years relevant industry experience Strong programming skills in C and Python. Clear track record of effective collaboration with customers and continuous delivery of quality results in a hybrid or remote workplace. Comfortable collaborating across large engineering organizations. Passion for safe, fully-electric, self-driving technology and its impact on the world Desired Skills Experience with building or extending AV/Robotic simulation Experience working on game engines such as Unity, Unreal Engine, or PhysX. Experience with reinforcement learning, gym environment, or LLM. Strong programming skills in modern C and Object-oriented Design. Compensation: The expected base compensation for this role is: $148,000 - $226,200. 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. 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. 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 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.

Requirements

Must-haves

The Simulation group is solving one of self-driving’s most difficult problems: evaluating the performance of the autonomous driving software stack before it reaches public roads.
BS, MS, or PhD in Computer Science, Robotics, Machine Learning or equivalent experience
5 years relevant industry experience
Strong programming skills in C and Python.
Clear track record of effective collaboration with customers and continuous delivery of quality results in a hybrid or remote workplace. Comfortable collaborating across large engineering organizations.
Passion for safe, fully-electric, self-driving technology and its impact on the world

Nice-to-haves

Experience with building or extending AV/Robotic simulation
Experience working on game engines such as Unity, Unreal Engine, or PhysX.
Experience with reinforcement learning, gym environment, or LLM.
Strong programming skills in modern C and Object-oriented Design.

Application prep

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Keywords to mirror

machine learningpythonllm

Platform: workday
Effort: long

Benefits

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