Senior / Staff ML Onboard Optimization Engineer

Highlights

• Scale safe self-driving systems for commercial autonomous trucks and robotaxis.
• Expand model deployment pipeline for next-generation onboard compute systems.
• Profile runtime and memory to pinpoint performance bottlenecks onboard.

Ideal candidate

Collaborative, open-minded engineer with deep industry experience who is passionate about self-driving and solving hard problems with innovative solutions.

Requirements

• MS/PhD or Bachelor's with 6+ years industry experience in Computer Science, Robotics or similar
• Solid coding proficiency in Python, C++ or Rust
• Experience with deep learning frameworks such as PyTorch
• Skilled in profiling CPU and GPU code with PyTorch Profiler and NVIDIA Nsight
• Experience with NVIDIA embedded platforms such as Jetson or Thor
• Open-minded and collaborative team player willing to help others
• Passionate about self-driving technologies and solving hard problems