This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum. The Role The AI Solutions team in the GM AV Organization is responsible for end-to-end deployment of machine learning models for inference from frameworks (e.g. PyTorch) to the autonomous vehicle hardware platform, as well as the ML runtime software needed to execute those models on the vehicle. We work closely with partners in the Embodied AI org, as well as AI Kernels, AI Compilers, and AI Architecture. This role blends expertise in ML systems, model serving, software optimization, operating systems, and hardware-aware engineering. What You'll Do Deploy machine learning (ML) models that drive self-driving vehicles by leveraging ML compilers, hardware-aware ML optimizations, and ML runtimes, targeting both onboard (vehicle) and offboard (cloud/simulation) environments. Develop low-level ML runtime software and APIs to efficiently serve and execute models in onboard and offboard environments. Collaborate with engineers from Embodied AI, Kernels, Compilers, Architecture, and System Performance teams. Additional Your Skills & Abilities (Required Qualifications) 3+ years of relevant industry experience Experience developing in a Linux environment Strong system fundamentals and coding abilities (C++, Python) Experience in ML model optimization, deployment, runtimes, or serving infrastructure Background in computer architecture and operating systems Experience with optimizing and/or evaluating complex software systems on dedicated hardware Understanding of how to design high-performant software components BS, MS or PhD in CS, or related technical field What Will Give You a Competitive Edge (Preferred Qualifications) Experience with NVIDIA GPUs and CUDA Experience with low latency or real-time systems Familiarity with ML hardware and performance of inference on ML hardware Experience with lower-levels of an accelerator software stack (i.e. drivers, runtimes, and user-level API) and the inter-layer interactions Experience in the AV industry Compensation The salary range for this role is $134,000 to $205,000. 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. Relocation This job may be eligible for relocation benefits. 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-beingat work and at homeso you can focus on realizing your ambitions. 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. 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