Product Engineer Jobs in Sunnyvale, CA
Product Engineer jobs in Sunnyvale, California concentrate in the downtown Murphy Avenue corridor, the Lawrence Expressway tech belt, and the Moffett Park district, across semiconductor, networking hardware, and consumer electronics. Employers hiring right now include Google, Amazon, and Meta. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 577+ Product Engineer jobs
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with silicon or semiconductors (e.g., digital design, silicon validation, computer architecture, product engineering).
- Experience scripting in one or more programming languages (e.g., Python).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience in product engineering: managing and optimizing test content, debugging issues, performing RMA/FA, and conducting root cause analysis.
- Experience collaborating with silicon vendors, contract manufacturers, and supply chain partners to improve test quality, reliability, and yield.
- Experience with large digital SoCs, focusing on functional domain engineering, alongside utilizing complex software stacks to perform functional testing, investigations, and log/data analysis.
- Experience with high-speed interfaces, ASIC interfaces, memory systems (HBM), power system features, or high-power ASICs.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will support integration and testing on hardware emulation platforms. During post-silicon, you will lead validation, bringup, and system qualification across power features, interfaces, HBM memory, compute functionality, and overall performance. Finally, you will provide ongoing engineering support during chip manufacturing, deployment, and field operations—monitoring quality and reliability while optimizing test efficiency, RMA/FA root-cause analysis, and process workflows.
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: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own sustaining phases of the silicon development lifecycle. Monitor, debug, and deploy corrective actions for quality and reliability issues in manufacturing, deployment, and serving.
- Optimize test performance across manufacturing and deployment. Partner with cross-functional teams to improve test coverage and reduce overall test time.
- Drive triage, debugging, and corrective actions across all deployment stages. Support rapid resolution in early NPI to reduce test failures and escapes, driving process improvements as necessary.
- Collaborate with supply chain, contract manufacturing, and vendors to implement firmware, software, hardware, or process improvements.
- Investigate, reproduce, and root-cause field failures to drive resolution, focusing primarily on functional operations alongside DFT/DFD structural testing.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with silicon or semiconductors (e.g., digital design, silicon validation, computer architecture, product engineering).
- Experience scripting in one or more programming languages (e.g., Python).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience in product engineering: managing and optimizing test content, debugging issues, performing RMA/FA, and conducting root cause analysis.
- Experience collaborating with silicon vendors, contract manufacturers, and supply chain partners to improve test quality, reliability, and yield.
- Experience with large digital SoCs, focusing on functional domain engineering, alongside utilizing complex software stacks to perform functional testing, investigations, and log/data analysis.
- Experience with high-speed interfaces, ASIC interfaces, memory systems (HBM), power system features, or high-power ASICs.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will support integration and testing on hardware emulation platforms. During post-silicon, you will lead validation, bringup, and system qualification across power features, interfaces, HBM memory, compute functionality, and overall performance. Finally, you will provide ongoing engineering support during chip manufacturing, deployment, and field operations—monitoring quality and reliability while optimizing test efficiency, RMA/FA root-cause analysis, and process workflows.
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: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own sustaining phases of the silicon development lifecycle. Monitor, debug, and deploy corrective actions for quality and reliability issues in manufacturing, deployment, and serving.
- Optimize test performance across manufacturing and deployment. Partner with cross-functional teams to improve test coverage and reduce overall test time.
- Drive triage, debugging, and corrective actions across all deployment stages. Support rapid resolution in early NPI to reduce test failures and escapes, driving process improvements as necessary.
- Collaborate with supply chain, contract manufacturing, and vendors to implement firmware, software, hardware, or process improvements.
- Investigate, reproduce, and root-cause field failures to drive resolution, focusing primarily on functional operations alongside DFT/DFD structural testing.
See All 577+ Product Engineer Jobs in Sunnyvale
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Find Product Engineer JobsProduct Engineer Job Market in Sunnyvale
Who's Hiring
- Google155
- Amazon89
- Meta67
- Nokia67
- Apple44
Top Industries Hiring
- Electronics & Hardware111
- Telecommunications67
- Technology & Software44
- Retail22
- E-Commerce & Online Marketplaces22
Product Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a product engineer job in Sunnyvale?
The strongest path into Sunnyvale's product engineer market runs through its semiconductor and networking hardware companies, which cluster around Moffett Park and the Lawrence Expressway corridor. Candidates with hands-on hardware bring-up experience, systems integration, or cross-functional NPI work stand out here. Targeting mid-size chip design firms and established networking equipment companies gives you the best odds, since those employers hire product engineers continuously rather than only at product launch cycles.
Which companies hire product engineers in Sunnyvale?
Employers hiring product engineers in Sunnyvale right now include Google, Amazon, and Meta, based on current listings on Migrate Mate as of September 2026. The local market is anchored by semiconductor firms, networking hardware companies, and consumer electronics divisions with deep Sunnyvale R&D footprints.
Are there remote product engineer jobs in Sunnyvale?
Yes, though product engineering is one of the more on-site-heavy roles because hardware validation, lab access, and cross-functional prototype reviews often require physical presence. About 0% of product engineer openings tied to Sunnyvale are remote or hybrid as of September 2026, with remote arrangements most common in software-defined product lines and systems architecture work rather than in hands-on hardware characterization roles.
How can I get a product engineer job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is a test engineering or product validation associate role at one of the area's semiconductor or networking hardware companies, which routinely hire new graduates for structured NPI support positions. Sunnyvale employers also draw heavily from nearby San Jose State and Santa Clara University co-op and internship pipelines, so applying directly through those programs builds a local footprint fast. A background in lab work, schematic reading, or failure analysis gives entry-level candidates a clear edge over generalists.
Which industries hire the most product engineers in Sunnyvale?
Most product engineer openings in Sunnyvale sit in Electronics & Hardware, Telecommunications, and Technology & Software, per current listings on Migrate Mate as of September 2026. Those sectors dominate Sunnyvale's economy because the city has served as a longtime base for chip design, enterprise networking, and consumer device development, creating sustained and recurring demand for product engineers across the product lifecycle.
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See All 577+ Product Engineer Jobs in Sunnyvale
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