[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Alphabet · Sunnyvale, CA # Senior Staff Software Engineer, ML Performance, GPU Sunnyvale, CA, USA Senior individual contributor Software Engineering Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there. [Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/133367856568902342-senior-staff-software-engineer-ml-performance-gpu) [OpenNash Jobs](https://jobs.opennash.com/) / [Alphabet](https://jobs.opennash.com/companies/alphabet/) / Senior Staff Software Engineer, ML Performance, GPU ## Job description info_outline About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google’s Core ML organization is seeking software engineers for the ML Performance team to drive GPU performance optimizations for Gemini models. Working in close partnership with DeepMind and XLA, the team also writes custom kernels in CUDA, Triton, and Pallas/Mosaic to achieve peak efficiency. The ML Performance team focuses on performance analysis such as headroom/roofline analysis, benchmarking, and hill-climbing, along with advanced optimization techniques including sharding, compiler optimizations, quantization, custom kernels, and agentic optimizations. Beyond delivering immediate model-specific improvements, the team achieves scalable results by promoting these point optimizations into principled, stack-level enhancements across compilers and kernel libraries to boost out-of-the-box performance. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. ### US $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 23, 2026 - Last checked: Oct 30, 2026 - Listed for: 7 days - Location: Sunnyvale, CA, USA[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/133367856568902342-senior-staff-software-engineer-ml-performance-gpu) ## Hiring at Alphabet - Open jobs: 3,591 - New in the last 7 days: After two weekly collections - Tracked since: Aug 20, 2026 [All Alphabet jobs](https://jobs.opennash.com/companies/alphabet/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Alphabet ### [AI and Infrastructure Software Engineer, Virtualization](https://jobs.opennash.com/companies/alphabet/jobs/fff7ad38045a0d84a9a5/) Sunnyvale, CA, USA ### [Firestore Software Engineering Manager](https://jobs.opennash.com/companies/alphabet/jobs/0baa2504e50629d44f7c/) Sunnyvale, CA, USA ### [GPU System Software Engineer](https://jobs.opennash.com/companies/alphabet/jobs/08ef38825b03d241e606/) Sunnyvale, CA, USA ### [Hardware/Software Co-Design Engineer, Inference](https://jobs.opennash.com/companies/alphabet/jobs/c656cc1479703aa0c31e/) Sunnyvale, CA, USA ### [Hardware/Software Codesign and Performance Engineer, Inference](https://jobs.opennash.com/companies/alphabet/jobs/39c2e7392988f368f731/) Sunnyvale, CA, USA ## Similar jobs at other companies ### [Performance Engineer, Staff](https://jobs.opennash.com/companies/qualcomm/jobs/5744507944cc147cc141/) Qualcomm · Austin, Texas, United States of America ### [Sr-Staff Performance Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/26106c8a4e1a03acc194/) Qualcomm · Austin, Texas, United States of America ### [Principal Software Engineer - Performance Engineering](https://jobs.opennash.com/companies/jpmorganchase/jobs/15a172040fc3cd4de3f4/) JPMorganChase · Palo Alto, CA, United States ### [Principal Software Engineer - Performance](https://jobs.opennash.com/companies/microsoft/jobs/402fa2366ad82cac498d/) Microsoft · United States, Multiple Locations ### [Principal Software Engineer - High Performance Computing](https://jobs.opennash.com/companies/jpmorganchase/jobs/d60a382404d0610c77cf/) JPMorganChase · Palo Alto, CA, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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