GPU Performance Verification Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Qualcomm · 2 weeks ago

GPU Performance Verification Engineer

Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. The GPU Performance Verification Engineer will architect, design, implement, verify, and optimize the performance and power of GPU cores, collaborating with cross-functional teams to meet customer needs.

Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
check
Comp. & Benefits
check
H1B Sponsor Likelynote

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

Qualification

GPU pipelineSystem VerilogPythonC/C++GPU ArchitecturesSimulation AccelerationEmulationData VisualizationHW-SW co-verificationBig-data analytics

Required

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ 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 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field
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

Preferred

Overall 3+ 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

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

Company

Qualcomm

company-logo
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.

H1B Sponsorship

Qualcomm has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)

Funding

Current Stage
Public Company
Total Funding
$3.5M
1991-12-20IPO
1988-01-01Undisclosed· $3.5M

Leadership Team

leader-logo
Cristiano Amon
President and Chief Executive Officer
linkedin
I
Isaac Eteminan
CEO
linkedin
Company data provided by crunchbase