GPU Software Engineer

You will: 

• Collaborate closely with application teams to understand how to map new and existing algorithms to GPU, allowing our cars to “see” further, drive smarter, and react faster
• Build high-performance primitives and abstractions that allow for scaling our code-base to constantly evolving workloads and hardware
• Improve and add new compiler optimizations to allow for producing optimal GPU assembly
• Analyze performance counters, GPU micro-architectural features, and SOTA algorithms to identify optimization opportunities
• Contribute to infrastructure that performs testing / static analysis to catch bugs early and creates automated alerts to encourage following best GPU performance practices
• Co-design hardware features and evaluate trade-offs for future generations of our compute platform

You have: 

• Strong C++ programming skills
• Advanced degree in Computer Science, similar technical field of study, or equivalent practical experience
• Experience with GPU programming / optimization using CUDA or similar technologies
• Basic knowledge of GPU architecture / programming model
• Experience with using performance analysis tools and debuggers
• Experience with parallel computing/programming

We prefer: 

• Experience with LLVM or SPIR-V open-source ecosystems or other compiler projects
• Operating systems or embedded software experience especially working on device drivers
• Skilled at GPU optimization techniques such as memory coalescing, register/shared memory tiling, pinned memory, and warp-level programming
• Experience with GPU libraries such as CUB, CUTLASS, Thrust, or Eigen
• Research experience in parallel algorithms, compilers, or computer architecture
• Experience with graphics workloads and shader programming
• ML frameworks/compiler/library