Job Description

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 8 years of experience working in a hardware systems design environment.
• 5 years of experience managing an engineering team.
• Experience with power circuit design and signal integrity.

Preferred qualifications:

• Master’s degree or PhD in Electrical, Mechanical or Computer Engineering, Computer Science, or equivalent in a related technical field.
• 7 years of experience working in a complex, matrixed organization.
• 5 years of experience leading a team of engineers to build AI infrastructure.
• 5 years of experience building or operating AI accelerator hardware or advanced AI accelerator interconnect networks.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a part of the Emergent AI Infrastructure team, you will build the next-generation of on-prem AI infrastructure to bring the best of Google to empower frontier model and AI solution builders to advance the capabilities for AI around the world. As a part of this team, your role will involve exposure to fully integrated AI infrastructure systems, from hardware to software design and workload management.

In this role, you will build AI clusters using the latest technologies for AI acceleration and cluster interconnects and networking. You will build the AI infrastructure for the future and brand new products rather than just evolving an existing one.

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 team behind Google's groundbreaking innovations, empowering the development of our 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.

The US base salary range for this full-time position is $237,000-$329,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.In this role, you will build AI clusters using the latest technologies for AI acceleration and cluster interconnects and networking. You will build the AI infrastructure for the future and brand new products rather than just evolving an existing one.

Responsibilities

• Identify flaws and issues with hardware components by analyzing key issues, risks, or trade-offs, and address new hardware failures by driving corrective solutions.
• Manage the hardware and software innovation group responsible for adapting and creating hardware and software for new emergent AI products in close collaboration with other hardware and software teams in cloud.
• Manage and mentor a team of engineers, providing guidance and fostering professional development.
• Co-ordinate distributed operations across the US, Asia, and Europe, guiding engineers as they collaborate across continents to build a brand-new AI infrastructure product.
• Collaborate cross-functionally by partnering with tech leads, tech lead managers, and engineering managers across the organization to deliver results.