GPU Verification Engineer, Senior

Qualcomm Gpu Engineer

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

• 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.

• GPU pipeline, System Verilog, Python, C/C++ skills required
• 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 disabili 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.

Pay range and Other Compensation & Benefits: $ - $