About this role
In this role, you will:
- Analyze performance metrics to identify GPU hotspots and optimizations
- Contribute to the adaptation of our current planner to multiple GPU architectures with different resources
- Optimize ML models for latency and GPU memory usage
- Support engineers within Planner as a subject matter expert on CUDA & GPU performance
Qualifications
- BS in computer science or related field and 3+ years of experience.
- Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.
- Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.
- Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).
Bonus Qualifications
GPU kernel development experience