- Hands-on experience writing and tuning CUDA or Triton kernels.
- Fluent in PyTorch, with concrete insight into what makes PyTorch code fast or slow — graph breaks, host-side overhead, synchronization points and memory layout.
- Training at the scale of thousands of accelerators, including multi-node failure modes and long-running job stability.
- Building profiling, tracing or benchmarking infrastructure that other teams depend on — CUPTI, Perfetto, or equivalent.
- Using LLM agents to automate parts of an engineering workflow.
- Autonomous driving, robotics, or another domain with hard latency, power and memory constraints.
- Publications or open-source contributions in ML systems or performance.
What do we provide
- A fun, supportive and engaging environment.
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with the top talents in the field.
- Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
- Competitive compensation package.
- Snacks, lunches, dinners, and fun activities.
The base salary range for this full-time position is $244,140, - $413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.