Senior Power Analysis and Optimization Engineer

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAAustin, TX
Salary
$136,000–$218,500 / yr
Posted
112 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $177k
$126k most similar roles pay here $230k

This role pays less than 55% of similar roles. Most pay $170,000–$216,250 — the shaded band above. At the midpoint, this role pays about $177k versus about $193k for comparable roles.

Based on 240 similar postings.

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Power Analysis and Optimization Engineer

Role Posting Log in to save

As a Senior Power Analysis and Optimization Engineer, you will join the team to advance energy efficiency for GPUs and SoCs through advanced analytics and artificial intelligence. You will analyze full-chip and unit-level power using RTL and gate-level tools to drive architectural improvements while developing productionized power-aware models. Your daily work involves creating machine learning and reinforcement learning techniques for anomaly detection, designing and training custom LLMs to interpret complex data, and performing comparative power analysis across various workloads. You will collaborate with cross-functional teams to root-cause bugs and prototype features in Verilog. To succeed, you must possess expertise in Python, Perl, C++, and tools like PowerArtist or PrimePower. The role focuses on solving the challenge of scaling energy-efficient designs for high-demand AI and graphics workloads through data-driven, AI-assisted decision-making processes.

Skills

Power Analysis Machine Learning Reinforcement Learning LLMs Python C++ Perl Verilog ASIC Design RTL PowerArtist PrimePower EDA Data Analytics design‑space exploration

What you'll do

  • Analyze full-chip and unit-level power using RTL and gate-level tools to drive architectural improvements.
  • Develop and productionize ML/RL-based models for anomaly detection and design-space exploration.
  • Design and train LLMs to interpret complex power data and suggest root causes for bugs.
  • Perform comparative power analysis across workloads and products to identify non-obvious optimization opportunities.
  • Prototype and evaluate new architectural features in Verilog with a focus on energy implications.
  • Automate and scale power analysis flows using Python, Perl, or C++.
  • Deploy data-driven models to automatically tune power-efficient configurations and policies.

What we're looking for

  • MS degree and experience in EE/CE/CS or related fields.
  • PhD degree and experience in EE/CE/CS or related fields.
  • Strong understanding of energy consumption, power estimation, data movement, and low-power design.
  • Familiarity with Verilog and ASIC design principles.
  • Hands-on experience with tools such as PowerArtist, PrimePower/PrimePower RTL, or RTL Architect.
  • Solid coding and automation skills in Python, Perl, and C++.
  • Experience or strong interest in machine learning, reinforcement learning, and data analytics for EDA or system optimization.
  • Interest or experience in building and using LLMs or foundation models as engineering copilots.

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