Senior Applied Power Architect - GPU jobs in United States
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NVIDIA · 2 days ago

Senior Applied Power Architect - GPU

NVIDIA is known as a world leader in providing energy-efficient high-performance products, and they are seeking a Senior Applied Power Architect – GPU. The role involves inventing methodologies to address power challenges for next-generation AI architectures and driving power management initiatives to optimize efficiency and performance.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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H1B Sponsor Likelynote

Responsibilities

You will be responsible for inventing methodologies, features and techniques to address electrical/speed/power challenges for NVIDIA's next generation AI architectures such as Rubin and Feynman
Drive power management initiatives to optimize power efficiency and performance, while addressing electrical/thermal and power constraints
Understand process characteristics and its impact of V-F and drive analysis of various V-F tradeoffs considering Vt choices on power/other metrics and overall performance
Investigate multi-die technologies and come up with innovative solutions to address packaging, interconnect, physical design, electrical and thermal challenges
Analyze peak current, Di/Dt, IR and EM requirements, and collaborate closely with ASIC designers, Power Integrity, Packaging experts and Product engineers to understand challenges and formulate solutions

Qualification

Low-power-processor architecturesPower management initiativesPDN designPythonData analysis packagesInterpersonal skillsOrganizational skills

Required

MSEE/MSCE
Solid understanding of energy efficient system design fundamentals, performance/power modeling and related tradeoffs from your 6+ years of relevant industry experience
A background in PDN design and good understanding of electrical issues such as Di/Dt, undershoot/overshoot, IR, EM, peak current, analysis/mitigation techniques
Strong interpersonal and organizational skills and the ability & desire to work as a great teammate

Preferred

PhD or equivalent experience with a specialization in low-power-processor architectures
Exposure and working knowledge of Python and data analysis packages like: Pandas, NumPy, PyTorch
Exposure to lab setup including power measurement equipment such as scope/DAQ

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA 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 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase