GPU Power Engineer

Qualcomm • San Diego, CA

8d • $141,300 - $211,900

About The Position

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 multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams.

Requirements

• Bachelor's degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• Experience with scripting in Python or Perl.
• 5+ years of experience with low-power ASIC optimization
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Nice To Haves

• Knowledge of Graphics architecture is a plus
• Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 8+ years of experience with advanced CPU/GPU architecture/microarchitecture design development
• 8+ years of experience with VLSI design and verification
• 8+ years of experience with low-power ASIC design techniques
• Experience with industry tools such as PrimeTime PX and Power Artist
• Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development
• Experience with GPU driver and compiler development
• Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification

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 multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams

Benefits

• competitive annual discretionary bonus program
• opportunity for annual RSU grants
• highly competitive benefits package is designed to support your success at work, at home, and at play

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level