Staff Software Engineer, AI/ML Infrastructure, TPU Supercomputers

### Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in C, C++, Go, or Python.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience designing, building, and operating large-scale distributed systems, high-performance networking stacks, or operating system internals.

### Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with lower-half server architectures, hardware-adjacent orchestration, and low-level security implementations.
• Experience with Kubernetes and Google-internal cluster systems, alongside a proven ability to build telemetry pipelines and monitoring systems for distributed hardware.

About the job

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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 opp...