GPU Power Engineer

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$141,300–$211,900 / yr
Posted
19 days ago
Freshness
Confirmed live today
Closes
Apr 6, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $177k
$127k $278k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $177,287–$238,700 — the blue band above. At the midpoint, this role pays about $177k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

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At a glance

TL;DR · GPU Power Engineer

The GPU Power Engineer joins the GPU ASICS Engineering team to analyze and evaluate GPU architecture and microarchitecture for performance and power optimizations. The role involves GPU power modeling and estimation for projection and correlation, alongside workload analysis, profiling, and characterizations. The engineer will develop and maintain tests for pre-silicon and post-silicon power verifications while collaborating with RTL design, architecture, design verification, compiler, driver, and silicon implementation teams. Required skills include scripting in Python or Perl and experience with low-power ASIC optimization. Preferred qualifications include experience with PrimeTime PX, Power Artist, C/C++, Assembly, Verilog/SystemVerilog, and graphics APIs like Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda. This position focuses on solving technical challenges in GPU power efficiency and hardware design.

What you'll do

  • Analyze and evaluate GPU architecture and microarchitecture for performance and power optimizations.
  • Perform GPU power modeling and estimation for projection and correlation.
  • Conduct GPU workload analysis, profiling, and characterizations.
  • Develop and maintain tests for pre-silicon and post-silicon power verifications.
  • Implement low-power ASIC optimization techniques.
  • Use industry tools such as PrimeTime PX and Power Artist for design analysis.

What we're looking for

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of relevant work experience.
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of relevant work experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 5+ years of experience with low-power ASIC optimization.
  • Experience with scripting in Python or Perl.
  • 8+ years of experience with advanced CPU/GPU architecture/microarchitecture design development (preferred).
  • 8+ years of experience with VLSI design and verification (preferred).
  • 8+ years of experience with low-power ASIC design techniques (preferred).

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