Senior Staff Software Engineer, Accelerator Platforms

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will architect and drive the software innovations that power Google's AI and High-Performance Computing (HPC) infrastructure. Your focus will be on the software stack above the firmware, including distributed systems, Linux OS and networking, power management, and seamless integration with hardware through buses like Peripheral Component Interconnect Express (PCIe). You will lead the technical goal and execution, enabling massive-scale deployment of Accelerators (e.g., GPUs, TPUs, etc.) for critical Google services and Cloud. Your work is fundamental to unlocking new frontiers in AI.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Serve as the Tech Lead (TL), defining the architecture and technical road map for the software stack on our accelerator platforms.
• Drive large-scale technical programs from concept to deployment, ensuring cross-team alignment and on-time delivery of complex systems. This includes interfacing with hardware, software, and SRE teams to deliver scalable solutions for Google's Data Centers.
• Be responsible for guiding multiple teams through the successful design, development, and execution of this roadmap.
• Focus on distributed systems software, core Linux OS components, Linux Networking, Power Management strategies, and the intricate interactions with hardware buses such as PCIe, USB, and I2C.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 7 years of experience working with embedded operating systems.
  
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience with Linux networking concepts and development (e.g., sockets, TCP/IP, kernel networking stack).
• Experience with Linux OS internals, kernel development, or systems programming.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 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 in High-Performance Computing (HPC) systems and networking.
• Familiarity with industry standardization bodies (e.g., PCI-SIG, Compute Express Link (CXL) Consortium, Distributed Management Task Force (DMTF), Open Compute Project (OCP)).