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.
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.
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.
