Zoox · Boston, United States
Join Zoox, a pioneering company in the autonomous vehicle industry. As a Software Engineer specializing in GPU Compute, you will play a crucial role in optimizing the performance of our motion planner, the largest software component in our autonomy stack. You will analyze performance metrics, contribute to the adaptation of our planner to multiple GPU architectures, and support engineers within the Planner team as a subject matter expert on CUDA and GPU performance. Enjoy a range of benefits, including paid parental leave, health insurance, and a comprehensive wellbeing program.
- Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines)
- Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments
- Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight
- BS in computer science or related field and 6+ years of experience
- GPU kernel development experience
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