NVIDIA
Technology
SeniorGPUArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior GPU Architect at NVIDIA. Skills: GPU architecture, Performance analysis, Hardware modeling, Profiling tools. Architect features. Plan features”
What You'll Achieve.
Provide meaningful insights; Provide accessible insights
Industry & Context.
Performance optimization
What They're Looking For.
Must Have
Masters or PhD or equivalent experience, 3+ years computer architecture experience, 3+ years ASIC design/verification experience, 3+ years software development experience, C++ programming skills, Python programming skills, Solid foundation computer architecture, Solid foundation hardware performance analysis, Experience performance modeling, Experience hardware simulation, Communication skills, Interpersonal skills, Ability to work with distributed team
Nice to Have
SystemC experience, Expertise developing parallel algorithms, Expertise optimizing parallel algorithms, GPU algorithm optimization, Experience user profiling tools, Experience developer profiling tools, CPU profiling tools experience, GPU profiling tools experience, Background AI applications, Background high-performance computing applications, Experience debugging large codebases, Experience contributing to large codebases
What You'll Do.
Implement next generation GPU profiling features
Build functional models
Build performance models
Refine hardware designs
Verify hardware designs
Contribute to feature implementation
Develop skills for innovation
Improve understanding AI workloads
Improve understanding GPU architecture
Improve understanding profiling software stack
How You'll Work.
Team & Collaboration
Software teams; Hardware teams; Verification teams; Distributed interdisciplinary team
Communication Scope
Communication skills
Full Job Description
NVIDIA’s GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization. As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. You will have a tangible impact at a fast-paced company that is spearheading the AI revolution. Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance! **What you’ll be doing:** * Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features. * Build functional and performance models to refine and verify hardware designs. * Create test plans to validate the features you design and contribute to their implementation. * Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack. **What we need to see:** * Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience. * 3+ years of relevant computer architecture, ASIC design/verification, or software development experience. * Strong programming skills in C++ (or similar) and Python (or similar). * Solid foundation in computer architecture and hardware performance analysis. * Experience with performance modeling and hardware simulation, ideally using SystemC. * Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team. **Ways to stand o
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