Senior Accelerators Systems Software Architect, AI Transformation

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.

Our team develops the node and distributed system software, firmware, tools, and testing frameworks essential for integrating Accelerators—such as GPUs, TPUs, and Video Transcoder Accelerators—into the Google Data Center). By supporting these and other emerging domain-specific systems, we enable machine learning and high-performance workloads for both internal services like Gemini and YouTube, and for Google Cloud customers.

This senior software engineering position offers a unique opportunity to influence the entire stack, from the hardware-software interface and computer architecture to the deployment of advanced AI systems. In this role, you will be a versatile engineer with deep expertise in how workloads utilize accelerators and a strong focus on quality and reliability throughout the manufacturing and deployment life-cycle.

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 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Provide technical leadership on high-impact projects, anchoring the architecture and engineering roadmap of common software for Accelerator platforms.
• Design, develop, test, deploy, and maintain large-scale software solutions, including board and chip firmware and Linux kernel drivers.
• Interface and drive industry ecosystem engagement related to various technology standards for modern Accelerator platforms.
• Facilitate and drive AI transformation across Accelerator software teams by leveraging the latest AI tools to speed up design and development.
• Influence and coach a distributed team of engineers while managing project priorities, deadlines, and deliverables.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience integrating Generative AI tools or Large Language Model (LLM) interfaces into workflows.
• Experience with architecture and writing software that interacts with hardware.
• Experience with data center servers and AI platforms.

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 with Peripheral Component Interconnect Express (PCIe) or other high-speed IO protocols and ML SOC architecture.

In most instances, this position requires in-person interviews as part of the hiring process.