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Qualcomm • San Diego, California, United States
Role & seniority: Qualcomm GPU Engineer (senior/experienced level; requires multiple years of software/hardware/system engineering; open to BS/MS/PhD with 4–6+ years depending on degree)
Stack/tools: GPU architecture/pipeline, SystemVerilog, RTL; Python; C/C++; pre-silicon verification, simulation acceleration, emulation; data analytics and big-data tooling
Perform pre-silicon performance analysis and closure for state-of-the-art GPU designs using trending benchmarks (graphics, compute, AI)
Collaborate with GPU design/architecture teams to identify bottlenecks and propose hw/sw optimizations to improve PPA
Support pre-silicon execution with benchmarks, HW-SW co-verification, emulation/accelerated simulation, and related data analysis
GPU pipeline understanding
SystemVerilog
Python; C/C++
Experience with GPU architectures and pipeline analysis
RTL design experience or strong SoC architecture background
Simulation acceleration and emulation; SW/HW design partitioning; performance analysis for software/hardware
Data analysis and visualization in Python
Location: not specified in posting
Work type: not specified in posting
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 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.
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
GPU pipeline, System Verilog, Python, C/C++ skills required
Desirable Qualifications
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
Qualcomm is an equal opportunity employer. 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. You may e-mail 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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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.
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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. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.