Education: Bachelor's degree
Experience: 5+ years
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.
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