Software Engineer, AI/TPU Infrastructure, On-prem

Google • Sunnyvale, CA

3d • Onsite

About The Position

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 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 force 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.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience working with embedded operating systems.
• Experience in machine learning architecture and infrastructure.
• Experience with cloud computing, backend, and distributed systems.

Nice To Haves

• Experience with custom SoCs, ASICs, or data center hardware systems, including boot flows, board/system bring-up, device drivers, and RTOS or bare-metal firmware design.
• Experience building system-level utilities and host-to-firmware communication mechanisms (e.g., mailboxes, shared memory, ring buffers, doorbell interrupts) to bridge disparate software or hardware components.
• Experience designing recovery strategies, fault-tolerant logic, and building monitoring frameworks or automated troubleshooting tools for mission-critical environments.
• Excellent problem-solving skills with an ability to work collaboratively across hardware, firmware, and software teams to define interfaces, debug issues, and deliver production-quality platforms.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level