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# Product Engineer, Machine Learning Accelerators, Google Cloud

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $171,000.0 - $248,000.0
- **Contract:** Permanent contract
- **Skills:** Bash Shell, Data Centers, Software Debugging, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Software Reliability Testing, Strategies of Testing, Scripting, Google Cloud, Application Specific Integrated Circuits, Hardware Infrastructure
- **Published:** July 10, 2026
- **Apply:** https://dejobs.org/x/x/F137AE7A6C5742CB9A21A824D0AB0410/job/

## About the Role

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree in Engineering or equivalent practical experience.

 * 10 years of experience in manufacturing
 * Experience in PCBA (Printed Circuit Board Assembly) and related system.
 * Experience in design for manufacturability and serviceability., * 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.

## Description

* 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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