Qualcomm Graphics Performance Verification Principal 

United States, California, San Diego 

843887585

Job Area:

Engineering Group, Engineering Group > GPU ASICS Engineering

Minimum Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 8+ 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 7+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

• 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.

Skills and experience we would love to see

• GPU pipeline, System Verilog, Python, C/C++ skills required

Desirable Qualifications

Overall 15+ years of experience:

• 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

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$216,000.00 - $324,000.00