Qualcomm
GPU Performance Verification Engineer, Principal
Qualcomm, Santa Clara, California, us, 95053
Company:
Qualcomm Technologies, Inc. Job Area:
Engineering Group, GPU ASICS Engineering General Summary:
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 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.
Additional Job Description Additional Job Description:
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 include GPU pipeline, System Verilog, Python, C/C++ skills.
Desirable Qualifications
Overall 12+ 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
Equal Opportunity Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
Pay range and Other Compensation & Benefits $264,300.00 - $396,500.00
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. Salary is only one component of total compensation at Qualcomm, which also includes a discretionary bonus program and RSU grants. Our benefits package supports success at work, at home, and at play.
If you would like more information about this role, please contact Qualcomm Careers.
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Qualcomm Technologies, Inc. Job Area:
Engineering Group, GPU ASICS Engineering General Summary:
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 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.
Additional Job Description Additional Job Description:
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 include GPU pipeline, System Verilog, Python, C/C++ skills.
Desirable Qualifications
Overall 12+ 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
Equal Opportunity Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
Pay range and Other Compensation & Benefits $264,300.00 - $396,500.00
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. Salary is only one component of total compensation at Qualcomm, which also includes a discretionary bonus program and RSU grants. Our benefits package supports success at work, at home, and at play.
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr