GPU Power Engineer: Drive Power-Performance for GPUs

QUALCOMM, Inc.

San Diego, Northern (CA, KY)

Hybrid

USD 141,000 - 212,000

Full time

8 days ago

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Job summary

Qualcomm Technologies, Inc. in San Diego is seeking a GPU Power Engineer to analyze and optimize GPU architecture, microarchitecture, and workloads for performance and power improvements.

You will build power models, run pre- and post-silicon verifications, and collaborate with RTL, architecture, compiler, driver, and silicon teams to deliver robust, energy-efficient GPU solutions. The role demands advanced knowledge of GPU power techniques and scripting in Python/Perl.

Qualifications

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience (for some roles).
  • Experience with scripting in Python or Perl; knowledge of low-power ASIC optimization is a plus.

Responsibilities

  • Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations.
  • GPU power modeling and estimation for projection and correlation.
  • Develop and maintain tests for pre-silicon and post-silicon power verifications.
  • Work closely with RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams.

Skills

C/C++ programming
Scripting (Python/Perl)
Assembly
Verilog/SystemVerilog
Design Verification

Education

Bachelor's degree
Master's degree
PhD

Tools

PrimeTime PX
Power Artist

Job description

Qualcomm Technologies, Inc. in San Diego is seeking a GPU Power Engineer to analyze and optimize GPU architecture, microarchitecture, and workloads for performance and power improvements.

You will build power models, run pre- and post-silicon verifications, and collaborate with RTL, architecture, compiler, driver, and silicon teams to deliver robust, energy-efficient GPU solutions. The role demands advanced knowledge of GPU power techniques and scripting in Python/Perl.

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