Zoox's autonomous driving software team is building the world's most advanced self-driving software system. As a GPU software engineer, you will work closely with experts in motion planning, localization, perception, and machine learning to build optimized GPU kernels for everything ranging from neural network processing to geometric reasoning.
Strong knowledge of C++ and experience in large code bases
Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Volta, Turing)
BS in computer science or related field
Strong knowledge of 3D geometry and linear algebra
Experiencing debugging and optimizing GPU kernels using tools like nvprof and the Visual Profiler
Comfortable in Linux development environments
GPU kernel development experience in a firm/hard real-time environment
Experience with PTX-level programming
Experience with CPU SIMD instructions (e.g., AVX intrinsics)
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.