Staff Software Engineer, TPU Machine Learning Supercomputer
Google — Search, Cloud, Android & DeepMind
About the role
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. As a member of the TPU Machine Learning Supercomputer (MLSC) team, you will design and develop features to significantly improve the scalability and reliability of large-scale software across TPUs and other distributed networked hardware machines. Your work will span various layers of the software stack, from host daemons to network routing and distributed control software running across Google's internal and cloud infrastructure. You will also provide leadership to help formulate and drive software development plans for future supercomputer generations.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 behind Google's groundbreaking innovations, empowering the development of 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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- No pay range in our index for this listing. Across 1,685 indexed Software Engineer roles in US that do publish one, the middle half sits between $185k and $285k, median $225k — JobLarper's read of the market, not a figure from Google.
- What Software Engineer roles ask for — across 10,230 indexed openings: REST/APIs (46%), Backend (42%), Cloud (38%), Python (38%), Go (25%). This posting names Cloud, Frontend, ML.
- Google is hiring actively — 200 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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