Senior Applied Power Architect - GPU

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 139 days ago $168,000$264,500 / year

At a glance

AI generated

TL;DR

Join 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

Python Pandas NumPy PyTorch AWS Kubernetes CI/CD Docker Git Linux PostgreSQL JIRA Confluence Power Integrity Analysis PDN Design Electrical Engineering ASIC Design Thermal Management Multi-Die Technologies V-F Tradeoffs

What you'll do

  • Develop methodologies and features to address electrical/speed/power challenges for next-gen AI architectures.
  • Drive initiatives to optimize power efficiency and performance while adhering to constraints.
  • Analyze process characteristics and V-F tradeoffs considering Vt choices on power/other metrics.
  • Investigate multi-die technologies to solve packaging, interconnect, physical design, and thermal issues.
  • Collaborate with ASIC designers, Power Integrity experts, Packaging engineers, and Product teams.

What we're looking for

  • MSEE/MSCE or PhD in low-power processor architectures.
  • 6+ years of industry experience in energy-efficient system design.
  • Expertise in PDN design and electrical issues analysis.
  • Knowledge of Python, Pandas, NumPy, and PyTorch for data analysis.
  • Experience with lab setup and power measurement equipment.
  • Strong interpersonal skills and teamwork orientation.

Market check

Salary context

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

About Nvidia

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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