Qualcomm
Job Title
GPU Performance Verification Engineer
at Qualcomm
Company Qualcomm Technologies, Inc.
Job Area 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 4+ 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 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
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.
Responsibilities
Responsible for pre‑silicon performance analysis and closure on state‑of‑the‑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.
Preferred Skills and Experience
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.
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.
Accessibility and Disability Accommodations If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. For assistance, email disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process.
Pay Range and Other Compensation & Benefits $161,800.00 – $242,600.00. This pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
How to Apply To learn more about this role, please contact Qualcomm Careers. Referrals increase your chances of interviewing by 2x.
Seniority Level Not Applicable
Employment Type Full‑time
Job Function Other
Industries Telecommunications
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at Qualcomm
Company Qualcomm Technologies, Inc.
Job Area 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 4+ 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 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
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.
Responsibilities
Responsible for pre‑silicon performance analysis and closure on state‑of‑the‑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.
Preferred Skills and Experience
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.
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.
Accessibility and Disability Accommodations If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. For assistance, email disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process.
Pay Range and Other Compensation & Benefits $161,800.00 – $242,600.00. This pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
How to Apply To learn more about this role, please contact Qualcomm Careers. Referrals increase your chances of interviewing by 2x.
Seniority Level Not Applicable
Employment Type Full‑time
Job Function Other
Industries Telecommunications
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