Staff Hardware Systems Design Engineer, AI Infrastructure, TPU

Google; Sunnyvale (CA); On-site; USD 174,000 - 258,000; Full time

Job summary

A leading technology company in Sunnyvale is seeking a Staff Hardware Systems Design Engineer to develop custom silicon solutions for AI Infrastructure. The role involves building next-generation hardware and software that impacts AI technology. Candidates must possess a Bachelor's degree in Electrical Engineering or related fields with at least 6 years of experience in hardware systems design. The base salary is between $174,000 and $258,000, plus bonuses and equity.

Qualifications

• 6 years of experience in hardware systems design or 5 years with an advanced degree.
• 3 years of experience in technical leadership.
• Experience with power circuit design and signal integrity.

Responsibilities

• Drive system development from concept through production.
• Lead debug and root cause analysis of deployed systems.
• Lead the bring up, validation, New Product Introduction (NPI), deployment, and sustaining of hardware solutions.

Skills

Technical leadership

Power circuit design

Signal integrity

Education

Bachelor's degree in Electrical Engineering or related field

Master's degree or PhD in relevant field

Tools

PCIe

DDR

Ethernet

USB

SPI

Job description

Staff Hardware Systems Design Engineer, AI Infrastructure, TPU

Join to apply for the Staff Hardware Systems Design Engineer, AI Infrastructure, TPU role at Google

3 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

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.

Our team is on a mission to redefine the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer. This is to be part of a team building a novel solution for customers with sophisticated security and locality requirements.

In this role, you will be building the next generation of AI hardware and the software that brings it to life. You will have the opportunity to make a Google level impact on the future of AI. You will contribute to all parts of the software stack. You will also work on a complex and vertically integrated system, from the operating system and drivers to the application layer.

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 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.

The US base salary range for this full-time position is $174,000-$258,000 + 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.

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
• 6 years of experience working in hardware systems design, or 5 years of experience with an advanced degree.
• 3 years of experience in technical leadership.
• Experience with power circuit design and signal integrity.

Preferred Qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
• 10 years of experience with hardware, design and bring-up.
• 3 years of experience in technical leadership or management.
• Experience in PCIe, Double Data Rate (DDR), Ethernet, Universal Serial Bus (USB), Serial Peripheral Interface (SPI) etc.

Responsibilities

• Drive system development from concept through production.
• Lead debug and root cause analysis of deployed systems.
• Lead the bring up, validation, New Product Introduction (NPI), deployment, and sustaining of hardware solutions.
• Balance hardware performance priorities against power, cost, and cross-functional considerations. Be responsible for meeting hardware product performance and regulatory specifications, if applicable.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Seniority level: Not Applicable

Employment type: Full-time

Job function: Other, Information Technology, and Engineering

Industries: Information Services and Technology, Information and Internet

Referrals increase your chances of interviewing at Google by 2x.