Senior Product Engineering Lead, Compute & Storage Hardware

Socket.dev; Sunnyvale (CA); On-site; USD 171,000 - 247,000; Full time

Job summary

Google is seeking an experienced Compute and Storage Product Engineer Lead in Sunnyvale to bridge hardware design with high-volume manufacturing. You will lead a team delivering ARM compute and storage products, driving DFx, test strategies, and robust NPI builds at scale.

You will partner with Design, Operations, and Quality to optimize yields, ensure GA readiness, and manage manufacturing risks. The role emphasizes capital efficiency and fast deployment of AI hardware.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 10 years of experience in manufacturing or hardware design.
• 3 years of experience in people management.
• Experience in PCBA and related system assembly.
• Experience in design for manufacturability and serviceability.

Responsibilities

• Serve as the NPI Operations Technical Lead, driving reviews between Design and Operations to deliver key manufacturing plans, test strategies, and DFx.
• Provide pre-production build support, manage line bring-up, deliver product debug training, and lead yield-bridge analysis to optimize quality.
• Evaluate new product technology, collaborating with Engineering and NPI Operations to influence design, highlight risks, and build mitigation plans.
• Partner with Quality/Reliability Engineers to set yield goals, validate qualification plans, and lead cross-functional resolutions for component quality excursions.
• Manage second-source part qualifications and coordinate BOM updates to ensure continuous production.

Skills

People management

Hardware design

Manufacturing

DFx

PCBA

Education

Bachelor's degree in Engineering or equivalent

Job description

Google is seeking an experienced Compute and Storage Product Engineer Lead in Sunnyvale to bridge hardware design with high-volume manufacturing. You will lead a team delivering ARM compute and storage products, driving DFx, test strategies, and robust NPI builds at scale.

You will partner with Design, Operations, and Quality to optimize yields, ensure GA readiness, and manage manufacturing risks. The role emphasizes capital efficiency and fast deployment of AI hardware.