Senior Applied Power Architect, GPU for AI & HPC

NVIDIA Corporation; Austin (TX); On-site; USD 168,000 - 311,000; Full time

Job summary

NVIDIA Corporation in Austin, TX is seeking a Senior Applied Power Architect – GPU to advance power-efficient AI hardware. You will invent methodologies to address electrical, speed and power challenges for next-gen architectures such as Rubin and Feynman, driving PDN design and power integrity considerations.

The role requires an MSEE/MSCE or PhD and 6+ years in low-power processor architectures, with strong Python data-analysis skills and experience with lab power measurement.

Qualifications

• MSEE/MSCE or PhD in a relevant field with focus on low-power 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 to address electrical/speed/power challenges for next-gen AI GPUs.
• Drive power management initiatives to optimize efficiency while meeting thermal constraints.
• Collaborate with ASIC designers, Power Integrity, and packaging teams to solve design challenges.

Skills

Power efficiency

Electrical design

Python data analysis

Team collaboration

Education

MSEE/MSCE or PhD

Tools

Python

Pandas

NumPy

PyTorch

Job description

NVIDIA Corporation in Austin, TX is seeking a Senior Applied Power Architect – GPU to advance power-efficient AI hardware. You will invent methodologies to address electrical, speed and power challenges for next-gen architectures such as Rubin and Feynman, driving PDN design and power integrity considerations.

The role requires an MSEE/MSCE or PhD and 6+ years in low-power processor architectures, with strong Python data-analysis skills and experience with lab power measurement.