Product Engineer, Machine Learning Accelerators, Google Cloud

Google; United States; On-site; USD 171,000 - 248,000; Full time

Job summary

Google is seeking a Product Engineer, Machine Learning Accelerators, Google Cloud, based in Sunnyvale. The role bridges ML accelerator design with high-volume manufacturing for TPU-related hardware, delivering scalable, reliable systems.

You will influence DFx, lead cross-functional teams, and optimize yield and quality across the production lifecycle, supporting rapid, global manufacturing expansion.

Qualifications

• Bachelor's degree in Engineering or equivalent practical experience.
• 10 years of experience in manufacturing.
• Experience in PCBA and related systems.
• Experience in design for manufacturability and serviceability.

Responsibilities

• Own the manufacturing plan and lead reviews between Design and Operations to drive DFx and test strategy.
• Provide on-site and remote support for pre-production builds and ensure factory readiness.
• Lead technology assessment for new products and influence design decisions to mitigate manufacturing risks.
• Collaborate with Quality and Reliability to establish NPI targets and validate plans.
• Drive yield improvement and root-cause analysis across cross-functional teams.

Skills

PCBA experience

DFx knowledge

Manufacturing leadership

Hardware data center experience

SQL and Python scripting

Education

Bachelor's degree in Engineering

Master's or PhD in Electrical/Mechanical/Industrial/Materials

Job description

Product Engineer, Machine Learning Accelerators, Google Cloud

Location: Sunnyvale, CA, USA

Experience Level: Advanced

Minimum Qualifications

• Bachelor's degree in Engineering or equivalent practical experience.
• 10 years of experience in manufacturing.
• Experience in PCBA (Printed Circuit Board Assembly) and related systems.
• Experience in design for manufacturability and serviceability.

Preferred Qualifications

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
• 12 years of experience in Manufacturing, Quality, or Product Engineering for hardware technology and systems.
• Experience in technical leadership, project management, and executive communication.
• Experience working with ODMs, contract manufacturers, and component suppliers for data center server accelerator products (GPU, FPGA, or ASIC).
• Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions, and continuous process improvements.
• Knowledge of SQL queries and scripting in Python or Bash.

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 TPU Product Engineer, you will sit at the absolute epicenter of Google' s AI ambitions, bridging the critical gap between complex machine learning accelerator design and high-volume, high-quality global manufacturing. Next-generation AI hardware is incredibly complex, and our team ensures these systems are manufacturable, testable, and deeply reliable at scale. By joining this team, you will directly enable the rapid expansion and peak performance of Google' s ML services, scaling the physical infrastructure that shapes the future of technology.

You will engage in technical problem-solving at a global operational scale. You will own the manufacturing and test engineering of breakthrough hardware products from the initial concept through the production ramp. You will collaborate early in the lifecycle to influence hardware design for manufacturability, testability, and serviceability (DFx). Once in production, you will architect scalable test infrastructure, analyze real-time build data, and pioneer data-driven optimization strategies to maximize factory yield and eliminate manufacturing fallout. Your work will help optimize capital efficiency, minimize supply chain waste, and support project timelines across the fleet.

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 Salary Range: $171,000 - $248,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Own the manufacturing plan and lead reviews between Design and Operations Engineering to drive deliverables that are key to implementing the manufacturing plan, such as DFx and test strategy.
• Provide on-site and remote support for pre-production builds. Ensure factory readiness, support manufacturing line bring-up, provide product debug training, and gather feedback on build issues.
• Lead the technology assessment for new products. Work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
• Collaborate with Quality and Reliability Engineers to establish NPI and production targets for yield and long-term reliability. Validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements.
• Lead cross-functional teams toward resolution of component/build quality excursions during NPI build phases. Manage bonepile and drive yield bridge analysis to improve product quality.

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If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Locations: Sunnyvale, CA, USA

Experience Level: Advanced

Experience owning outcomes and decision-making, solving ambiguous problems, and influencing stakeholders; deep expertise in domain.