NVIDIA · 3 days ago
Senior Applied Power Architect - GPU
Santa Clara, CA
Full-time
Onsite
Senior Level
$168K/yr - $264K/yr
6+ years expNVIDIA is known as a world leader in providing energy-efficient high-performance products, continually innovating in GPU and SOC architectures. They are seeking a Senior Applied Power Architect to develop state-of-the-art GPUs for various sectors, focusing on power management and performance optimization.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Required
MSEE/MSCE, preferably PhD, or equivalent experience with a specialization in low-power-processor architectures
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 are helpful
Strong interpersonal and organizational skills and the ability & desire to work as a great teammate
Preferred
Exposure and working knowledge of Python and data analysis packages like: Pandas, NumPy, PyTorch is a plus
Exposure to lab setup including power measurement equipment such as scope/DAQ. Your ability to analyze board-level power issues like supply voltage, over-current etc. is helpful
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
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2025 (1877)
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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