Staff Software Engineer, Accelerators Systems Platforms Software Architect

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.

We co-design with hardware (HW) engineering, develop, test, help deploy and debug the software required to make accelerators work: board and chip firmware, Linux kernel drivers, hardware design simulators, integration within Google server and cluster configuration, monitoring and massive distributed systems. We are helping develop the software (SW) that power the AI hypercomputers of the AI and Machine Learning era for the Google Data Center that underpin Google Cloud offering and all Domain Specific Computation for Google internal workloads. We work on interesting systems that push the boundaries of computation -- Google servers/networks and the latest Accelerators (TPUs, GPUs, Video Transcoders and other Accelerators).

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.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Serve as a TL, anchoring ownership of key systems software modules that underpin our Accelerators platforms including TPUs and other domain specific computations platforms. Be responsible for coordinating with the rest of the organization to drive the successful execution of NPI programs.
• Interface and drive industry ecosystem engagement related to help deliver at the Speed of Light of the externalization of our TPU Accelerators platforms.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience working with embedded operating systems.
• Experience in development within embedded systems/firmware design and in lower-level computer systems/architecture, embedded systems, and kernel development.
• Experience in PCI express and data center server.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and 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 Linux kernel (building and configuring Linux kernels for embedded systems), and understanding of kernel internals: virtual memory, interrupt handling, device drivers etc.
• Experience in High Performance Computing and data center Networking.