GPU Performance Verification Engineer

Qualcomm-posted 2 months ago
$161,800 - $242,600/Yr
Remote • San Diego, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.

  • Responsible for pre-silicon performance analysis and closure on state of art GPU design using trending graphic/compute/AI benchmarks.
  • Work closely with design/arch/model teams on GPU pipeline bottleneck analysis and propose hw/sw optimizations to improve PPA.
  • Contribute to pre-silicon execution with additional benchmark functional coverage.
  • Virtual GPU bring-up using hardware accelerated emulation system to enable other sw/hw teams on pre-silicon functional execution.
  • Analysis of performance and architectural bottlenecks in the GPU designs.
  • Work with GPU Design and Architecture Teams to understand concepts and performance bottlenecks in GPU.
  • Implement data analytics using Python.
  • HW-SW co-verification, simulation, simulation-acceleration, emulation, benchmark analysis, big-data analytics are all tools in our verification toolbox you will use on a daily basis.
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • GPU pipeline, System Verilog, Python, C/C++ skills required.
  • Experience with GPU Architectures and pipeline analysis.
  • RTL design experience and/or very strong SoC architecture background.
  • Experience with Simulation Acceleration and Emulation.
  • Experience working with System Level Architecture Teams to understand Performance Requirements and Bottlenecks.
  • Experience with SW and HW design partitioning.
  • Experience with analyzing performance issues in Software and Hardware.
  • Data analysis using Python and Data Visualization.
  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support your success at work, at home, and at play.
Track Jobs with Teal

Job Search Resources

•
Resume Builder
•
Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service