Nutanix
GPU Performance Verification Engineer, Principal
Nutanix, San Diego, California, United States, 92189
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
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 8+ 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 7+ 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 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Responsibilities
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.
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
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. Qualcomm is committed to providing reasonable accommodations to support individuals with disabilities during the hiring process. If you need accommodation, please email disability-accomodations@qualcomm.com. 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. Salary is one component of total compensation, which may include an annual discretionary bonus program and RSU grants. For details on benefits, your recruiter can provide information about Qualcomm's US benefits. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr
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. OR 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. OR 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.
Responsibilities
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.
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
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. Qualcomm is committed to providing reasonable accommodations to support individuals with disabilities during the hiring process. If you need accommodation, please email disability-accomodations@qualcomm.com. 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. Salary is one component of total compensation, which may include an annual discretionary bonus program and RSU grants. For details on benefits, your recruiter can provide information about Qualcomm's US benefits. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr