Senior GPU Power Architect – AI & SoC Innovation

NVIDIA Corporation; Santa Clara (CA); On-site; USD 196,000 - 311,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Applied Power Architect - GPU to advance power-efficient AI architectures in Rubin and Feynman. You will invent methodologies to address electrical, thermal and V-F tradeoffs while collaborating with ASIC designers and product teams.

The role emphasizes power management, PDN design, and analysis of peak current and EM requirements, with a strong lab and software toolkit including Python and PyTorch. Equity and comprehensive benefits are included.

Qualifications

• MSEE/MSCE, preferably PhD, in low-power-processor architectures.
• 6+ years in energy-efficient system design and power modeling.
• Experience with PDN design and electrical issues (Di/Dt, IR, EM).

Responsibilities

• Invent methodologies and techniques for power challenges in next-gen AI architectures.
• Drive power management initiatives to optimize efficiency and performance.
• Analyze voltage, current, and thermal constraints across multi-die and packaging.
• Collaborate with ASIC, packaging, power integrity, and product teams.

Skills

Python

Data analysis

Pandas

NumPy

PyTorch

Education

MSEE/MSCE or PhD in low-power-processor architectures

Job description

NVIDIA Corporation is seeking a Senior Applied Power Architect - GPU to advance power-efficient AI architectures in Rubin and Feynman. You will invent methodologies to address electrical, thermal and V-F tradeoffs while collaborating with ASIC designers and product teams.

The role emphasizes power management, PDN design, and analysis of peak current and EM requirements, with a strong lab and software toolkit including Python and PyTorch. Equity and comprehensive benefits are included.