GPU Performance Verification Engineer, Senior Staff

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > GPU ASICS Engineering Overview 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 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. Responsibilities Responsible for pre-silicon performance analysis and closure on state-of-the-art GPU design using trending graphics/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 software/hardware 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 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 and Accessibility 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. You may e-mail View email address on click.appcast.io or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring 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 $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. Salary is one component of total compensation at Qualcomm, which also includes a discretionary bonus program and potential RSU grants. Benefits details available from your recruiter. For more information about the role, please contact Qualcomm Careers. #J-18808-Ljbffr Qualcomm