Senior Product Engineer, Machine Learning Accelerators
Company: Google
Location: Sunnyvale
Posted on: April 4, 2026
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Job Description:
Minimum qualifications: Bachelor's degree in Engineering or
equivalent practical experience. 8 years of experience in
manufacturing. Experience in PCBA (Printed Circuit Board Assembly)
and related system assembly. Experience in design for
manufacturability and serviceability. Preferred qualifications:
Master's degree or PhD in Electrical, Mechanical, Industrial,
Materials, or a related engineering field. 10 years of experience
at a company developing supply chains in manufacturing and testing.
Experience working with Original Device Manufacturers (ODMs),
contract manufacturers and component suppliers for data center
server accelerator products (e.g., GPU, FPGA or ASIC). Experience
working with contract manufacturers and suppliers to drive root
cause analysis, corrective actions and continuous process
improvements. Experience of bring-up or bench testing hardware in a
lab environment. 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.
The Machine Learning Supply Chain and Operations (MLSCO) team is
responsible for the deployment of Machine Learning capacity in
Google’s Fleet. MLSCO-NPI leads cross-functional program planning
and execution to deliver next-generation Machine Learning systems
from Concept to End of Life (EOL), with operational excellence and
speed. Together, we are building the engine which powers Google's
Machine Learning capability and driving the evolution of artificial
intelligence. In the Product Engineering team, we're proud to be
our engineers' and solve complex problems to bring designs to life
and make advanced technology work at a massive scale. 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. The US base salary range for this full-time position
is $144,000-$209,000 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 .
Responsibilities Lead the technology assessment for new products.
Co-work with the product team to influence design decisions,
highlight manufacturing risks, and develop mitigation plans.
Collaborate with Quality and Reliability Engineers to establish New
Product Introduction (NPI) and production goals 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 towards
resolution of components and build quality excursions during New
Product Introduction build phases. 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. Manage the bonepile and drive
yield bridge analysis to improve product quality.
Keywords: Google, Stockton , Senior Product Engineer, Machine Learning Accelerators, Engineering , Sunnyvale, California
