Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development, including C/C in a Linux environment.
• 7 years of experience working with embedded operating systems and firmware development.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.
• Experience in Debugging, Embedded Processors, low-level platform bring-up, Computer Architecture, PCI Express (PCIe) and high-speed I/O, Data center Servers, and AI Platform development.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience working in a complex, matrixed organization.
• Expertise in the Accelerator industry, with a proven ability to drive low-level system software roadmaps.
• Proficiency in C/C , Linux development, and architecting hardware-software interfaces.
• Proficiency in low-level platform bring-up, PCIe/high-speed protocols, AI-driven workflow transformation, and engagement with industry standardization bodies (e.g., OCP, CXL, UEFI).
• Ability to design, automate, and test high-performance systems to ensure production-grade quality.

About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

As a part of the team, you will build the system software, firmware, tools, and testing frameworks to integrate Accelerators (GPUs, TPUs, Video Transcoders) into Google Data Centers, enabling high-performance machine learning for Google Cloud customers and internal services like Gemini and YouTube.

In this role, you will drive the AI revolution as a Senior Software Engineering leader, influencing the entire technology stack, from the hardware-software interface to advanced AI system deployment.

As a part of this role, you will be a versatile leader with expertise in accelerator-driven workloads, a strict commitment to reliability, and advanced AI knowledge to transform software development methodologies.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 behind Google's groundbreaking innovations, empowering the development of 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

• Develop the long-term technical goal and architectural roadmap for system software powering third-party GPUs and custom Google compute processors, continuously evolving it to anticipate future data center needs.
• Co-design the full software stack, from board firmware and Linux drivers to massive distributed systems, solving ambiguous problems through high-level system design and rigorous code review, ensuring accuracy and engineering best practices.
• Serve as a Senior TLM to guide complex execution, setting cross-team priorities, align strategy, and actively coach engineers via regular feedback and performance development to support overarching goals.
• Drive ecosystem engagement and influence technology standards to enable rapid, "speed-of-light" delivery of modern Accelerator appliances into Google Data Centers.
• Modernize Accelerator software teams by leveraging the latest AI tools to transform methodologies and accelerate design and development workflows.