Software Specialist, Hyper computer Lower Half, TPU

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience with software design and architecture.
• Experience in Peripheral Component Interconnect Express (PCIE).
• Experience in embedded systems and protocols.
• Experience with C, C++, Go, Python.

Preferred qualifications:

• 8 years of experience in any two of the following areas: software Advanced OS (kernel, BIOS, drivers, System SW) and with concept of distributed system design, data center networking hardware server design ,security, optics, hardware qual, Media Futures Group (MFG) stages, rack design, power, cooling infra (air and liquid).
• Experience with the TPU Firmware, systems software and Pod Management/Control software, Networking software and Orchestration software.
• Experience in execution-oriented work, demonstrating comfort with deadlines and a passion for learning.
• Ability to travel up to 50% of the time.

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Create tools and dashboards, and contribute to pre-deployment experiments to enhance the quality of the lower-half software stack.
• Identify and report bugs or feature requests to the NPI Lower-half software team for timely implementation to meet targets.
• Travel to deployment sites as necessary to help coordinate and lead cross-functional Google Cloud teams. Develop real-time strategies to resolve deployment roadblocks.
• Engage in the resolution of critical customer issues and outages, including participation in incident response.