Build optimizations for the latest generation of GPUs that power Google’s most critical products and services, impacting billions of users worldwide.

Address the most challenging performance bottlenecks through Google’s unparalleled access to the latest generation of GPUs, tooling, and a decade of experience building AI accelerators.

Drive optimizations across Google’s GPU software stack from ML compiler cost model design to optimizing high performance GPU kernels to cross node model serving configurations.

Influence the technical direction of the GPU software ecosystem at Google by collaborating with ML, compiler design, and systems architecture teams.

Influence the deployment of Google’s GPU fleet by working with various product teams across Google.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages.

3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Experience with modern GPU architectures (NVIDIA, AMD, or other AI accelerators), memory hierarchies, and performance bottlenecks.

Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering techniques.

Experience with modern LLMs and their deployment on AI accelerators.