Google Cloud is seeking a Senior Software Engineer specializing in GPU Performance to join their ML, Systems, & Cloud AI (MSCA) organization. This role is critical in developing next-generation technologies that impact billions of users worldwide. The position focuses on optimizing GPU performance for machine learning infrastructure, working with cutting-edge hardware and software stacks.
The role combines deep technical expertise in GPU architecture and optimization with machine learning infrastructure development. You'll work on improving benchmarks, optimizing low-level kernels and compilers, and bridging the gap between model developers and hardware for optimal co-design and performance. The position offers unique access to the latest generation of GPUs and tools, leveraging Google's decade-plus experience in AI accelerators.
As a senior engineer, you'll collaborate with experts in ML, compiler design, and systems architecture through both internal and external partnerships. The role is part of Google Cloud's broader mission to develop and manage hardware, software, and ML infrastructure for all Google services and Cloud customers. You'll have the opportunity to influence strategic partnerships and shape next-generation GPU architectures.
The position offers competitive compensation, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. You'll be working in a team that prioritizes security, efficiency, and reliability while driving the future of hyperscale computing. This is an excellent opportunity for someone passionate about GPU optimization, machine learning infrastructure, and large-scale system design who wants to make a significant impact on Google's AI capabilities.