Product Engineer, Machine Learning Accelerators
Job Summary
Job Description
This Product Engineer role focuses on machine learning accelerators, contributing to the development of custom silicon solutions for Google's direct-to-consumer products. Responsibilities include leading technology assessments for new products, collaborating with product and quality teams to define manufacturing strategies and mitigate risks, validating product qualification plans and reliability testing, resolving component and build quality issues during production, providing on-site and remote support for pre-production builds, and driving yield improvements. The ideal candidate will have extensive experience in manufacturing, PCBA assembly, design for manufacturability and serviceability, and working with ODMs and contract manufacturers. Strong problem-solving skills and cross-functional collaboration abilities are essential.
Must have:
- Bachelor's degree in Engineering or equivalent
- 8+ years manufacturing experience
- PCBA & system assembly experience
- DFM/DFS experience
- Lead technology assessments
- Collaborate with cross-functional teams
- Resolve manufacturing issues
Good to have:
- Master's/PhD in relevant engineering field
- 10+ years experience in supply chain development
- Experience with ODMs/CMs for data center accelerators
- Root cause analysis & continuous improvement experience
- Hardware bring-up/bench testing
- SQL, Python or Bash scripting
Perks:
- Bonus
- Equity
- Benefits
6 skills required
Job Details
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 relevant work experience at a company developing supply chains in manufacturing and test.
- Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC).
- Exeperience 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 US base salary range for this full-time position is $138,000-$202,000 + 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 .
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 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 team 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.
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