GPU Performance Verification Engineer, Senior Staff
qualcommAbout the role
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral 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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