Qualcomm Technologies
GPU Performance Verification Engineer, Senior Staff
Qualcomm Technologies, San Diego, California, United States, 92189
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 related work experience.
Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 5 years of related work experience.
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 4 years of related work experience.
Responsible for pre‑silicon performance analysis and closure on state‑of‑the‑art GPU design using trending graphic/compute/AI benchmarks.
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 daily.
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.
Pay Range and Other Compensation & Benefits $195,200.00 – $292,800.00. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. In addition, Qualcomm offers a competitive annual discretionary bonus program and opportunity for annual RSU grants, along with a comprehensive benefits package. Employees can review more details about the US benefits at their career portal.
EEO Employer Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Contact If you would like more information about this role, please contact Qualcomm Careers.
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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 related work experience.
Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 5 years of related work experience.
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field AND 4 years of related work experience.
Responsible for pre‑silicon performance analysis and closure on state‑of‑the‑art GPU design using trending graphic/compute/AI benchmarks.
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 daily.
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.
Pay Range and Other Compensation & Benefits $195,200.00 – $292,800.00. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. In addition, Qualcomm offers a competitive annual discretionary bonus program and opportunity for annual RSU grants, along with a comprehensive benefits package. Employees can review more details about the US benefits at their career portal.
EEO Employer Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Contact If you would like more information about this role, please contact Qualcomm Careers.
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