Senior Datacenter GPU Power Architect
Nvidia
At a glance
AI generatedJoin NVIDIA’s Applied Power Architecture team as a Senior Applied Power Architect – GPU to develop cutting-edge GPUs for AI, Automotive, GeForce, and Mobile products. You will invent methodologies and features to address electrical/speed/power challenges for next-generation AI architectures like Rubin and Feynman, driving power management initiatives to optimize efficiency and performance while addressing constraints. Responsibilities include understanding process characteristics, analyzing V-F tradeoffs, investigating multi-die technologies, and collaborating with ASIC designers, Power Integrity experts, and Product engineers to formulate solutions. Ideal candidates have an MSEE/MSCE or equivalent experience in low-power processor architectures, solid knowledge of energy-efficient system design fundamentals, PDN design expertise, and familiarity with Python, Pandas, NumPy, and PyTorch. Strong interpersonal skills are essential for working effectively as part of a team on groundbreaking developments in AI, HPC, and visualization.
Skills
What you'll do
What we're looking for
Market check
This $168,000–$264,500 range sits above 59% of similar postings on FindRole.
Peer median band
$167,100–$242,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$177,250–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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