GPU Verification Engineer, Senior

Position: GPU Performance Verification Engineer, Senior Staff
Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > GPU ASICS Engineering

General

Summary:

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

Minimum Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ 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 5+ 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 4+ 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 5+ 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

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EEO

Employer:

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion,…