GPU Power Architect & Performance Optimizer

MaC VC; San Diego (CA); On-site; USD 141,000 - 212,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a senior ASIC/GPU engineer to analyze and optimize GPU architecture with a focus on power and performance. You will model GPU power, analyze workloads, and develop power verification tests for pre- and post-silicon stages.

Collaborating with RTL, architecture, verification, compiler, driver, and silicon teams, you will contribute to advancing graphics technology. Strong C/C++, Verilog, and scripting skills are essential.

Qualifications

• Bachelor's degree in Computer Engineering, CS or EE.
• 5+ years of experience with low-power ASIC optimization.
• Experience with Python or Perl scripting.

Responsibilities

• Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations.
• GPU power modeling and estimation for projection and correlation.
• GPU workload analysis, profiling, and characterizations.
• 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 Language

Scripting (Python/Perl)

Assembly

Verilog/SystemVerilog

Design Verification

Education

Bachelor's degree in Computer Engineering/CS/EE

Master's degree in Computer Engineering/CS/EE

PhD in Computer Engineering/CS/EE

Tools

PrimeTime PX

Power Artist

Job description

Qualcomm Technologies, Inc. seeks a senior ASIC/GPU engineer to analyze and optimize GPU architecture with a focus on power and performance. You will model GPU power, analyze workloads, and develop power verification tests for pre- and post-silicon stages.

Collaborating with RTL, architecture, verification, compiler, driver, and silicon teams, you will contribute to advancing graphics technology. Strong C/C++, Verilog, and scripting skills are essential.