Senior ASIC Power Engineer, Machine Learning Accelerators jobs in United States
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Google · 11 hours ago

Senior ASIC Power Engineer, Machine Learning Accelerators

positionSunnyvale, CA
timeFull-time
remoteOnsite
senioritySenior Level, Lead/Staff
money$156K/yr - $229K/yr
date8+ years exp

Google is a leading technology company that focuses on AI and infrastructure. They are seeking a Senior ASIC Power Engineer to shape the future of AI/ML hardware acceleration by driving power efficiency for their Tensor Processing Units (TPUs) and developing custom silicon solutions.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Contribute to design power modeling and drive convergence to power goals
Investigate, specify, and deploy architectural and microarchitectural power optimization techniques
Define best practices and methodologies to achieve low-power Register-Transfer Level (RTL) designs
Collaborate with cross-functional software and system teams to create novel power management architectures to meet power goals

Qualification

Power designPower modelingPower architectureSilicon designChip-wide power managementThermal managementElectrical EngineeringComputer EngineeringComputer ScienceProblem-solving

Required

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
8 years of experience in silicon design or architecture (e.g., logic design, power architecture, performance, or SoC design)
Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques

Preferred

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture
Experience defining and implementing chip-wide power management architectures and designs
Experience in power modeling, measurement, and correlation across the pre- and post-silicon phases
Understanding of modern power and thermal management techniques at both the silicon and system levels (including Dynamic Voltage and Frequency Scaling (DVFS), Turboing, Thermal Management, and System-Level Tradeoffs)
Ability to solve open-ended power and performance problems under ambiguity

Benefits

Bonus
Equity
Benefits

Company

Google

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Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
dateFounded in 1998
location
Mountain View, California, USA
people-size10001+ employees
web-link
https://www.google.com

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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