The Senior Software Engineer, GPU Performance role at Google focuses on optimizing the performance of GPUs that power critical products and services. The position is part of the AI and Infrastructure team, which is dedicated to delivering AI capabilities at scale. Engineers in this role will work on addressing performance bottlenecks and influencing the technical direction of Google's GPU software ecosystem. This is an opportunity to shape the future of AI and accelerated computing within a dynamic and innovative environment.

• 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.
• 1 year of experience with software design and architecture.
• Experience with modern GPU architectures and performance bottlenecks.
• Experience with low-level GPU programming and performance engineering techniques.
• Experience with modern LLMs and their deployment on AI accelerators.

• Build optimizations for the latest generation of GPUs that power Google’s most critical products and services.
• Address the most challenging performance bottlenecks through access to the latest generation of GPUs and tooling.
• Drive optimizations across Google’s GPU software stack from ML compiler cost model design to optimizing high performance GPU kernels.
• Influence the technical direction of the GPU software ecosystem by collaborating with various teams.
• Influence the deployment of Google’s GPU fleet by working with product teams across Google.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.