Software Engineer, Optimus Inference Co Design

What to Expect The AI inference co-design team's goal is to take research models and make them run efficiently on our AI-ASIC to power real-time inference for Optimus humanoid robot programs, with applications extending to Autopilot. This unique role lies at the intersection of AI research, compiler development, kernel optimization, math and HW design tailored to robotic autonomy. You will work extensively with AI engineers and come up with novel techniques to quantize models, improve precision and explore non-standard alternate architectures optimized for edge deployment in humanoid robotics. You will be developing optimized micro kernels using a cutting-edge MLIR compiler and solve the performance bottlenecks needed to achieve real-time latency for Optimus tasks like locomotion, manipulation, and decision-making in dynamic environments. You will work closely with the HW team and bring state-of-the-art HW architecture techniques to our next generation HW SoCs designed for versatile robot behaviors.

What You'll Do

• Research and implement state-of-the-art machine learning techniques to achieve high performance on Optimus edge hardware for robotic perception, control, and autonomy
• Optimize bottlenecks in the inference flow for real-time robot operations, make precision / performance tradeoff decisions, and figure out novel techniques to improve hardware utilization and throughput in dynamic environments
• Implement / improve highly performant micro kernels for Optimus's AI compute units
• Work with AI teams to design robot-friendly neural network architectures optimized for edge deployment in humanoid robotics
• Collect extensive performance benchmarks (latency, throughput, power) across robotic tasks and work with HW teams to shape the next generation of Optimus inference hardware, balancing performance with versatility for diverse robot behaviors
• Experiment with numerical methods and alternative neural networks architectures tailored to robotic locomotion, manipulation, and decision-making
• Collaborate with the compiler infrastructure to enhance programmability and performance for Optimus's onboard AI systems

What You'll Bring

Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire :

2 medical plan options with $0 payroll deduction

Expected Compensation $118,000 - $390,000 / annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.