Jobs in the United States

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Electrical Engineer III
Cannon Design
BUFFALO, NY
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Software Test Engineer
WCG Clinical
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Volt Management Corp
ROCHESTER, NY
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New York, NY
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New York, NY
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Forensic Electrical Engineer
The Vertex Companies LLC
NEW YORK, NY
…meaningful impact. Job Description As an Electrical Forensic Engineer, you will investigate electrical system failures and incidents involving residential, commercial, industrial, and…
Added 1 min ago
Manufacturing Engineer
HII
Syracuse, NY
Basic understanding of other process/quality frameworks: ISO 9001, Lean & Six Sigma
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Software Engineer
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NY
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AI Transformation Engineer
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Sr. Process Engineer, Drive Unit
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Added 17 mins ago
Senior Staff Software Engineer, Machine Learning, ML Training
Google
Kirkland, WA · Seattle, WA · Sunnyvale, CA
In most instances, this position requires in-person interviews as part of the hiring process.
Added 25 mins ago
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Electrical Engineer
NLIGHT Inc
Longmont, CO
- $31,533 USD / year
Experience: 2-5 years of experience as an Electrical Engineer
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Software Development Engineer II, Managed Operations (MO)
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Process Engineer
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Process Engineer I (2nd Shift) ?? Longmont, CO 80503 | ?? Full-Time | ?? 2nd Shift ?? $72,000 -- $89,000 per year ?Start your engineering career improving how things are built. We're…
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2027 Summer Intern: Software Engineer
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Tools And Automation Engineer
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…and data analytics solutions, is seeking a Tools & Automation Engineer to support the development, production, and testing of advanced GPS receiver technology. This role sits within a team…

Google

Silicon Validation Product Engineer, Google Cloud

Sunnyvale, CA, United States

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Job details

Experience: 4 years of experience with silicon or semiconductors (e.g., digital design, silicon validation, computer architecture, product engineering).
Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

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.

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.

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.

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