The Cpu Performance Architecture Team
Technology
SeniorCPUPerformanceArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior CPU Performance Architect at The Cpu Performance Architecture Team. Skills: CPU performance, Workload analysis, System design. Work on workload bring-up. Perform performance analysis/projection”
Industry & Context.
Debugging performance scaling bottlenecks
What They're Looking For.
Must Have
BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience, 7+ years of relevant experience, Experience with CPU workloads and performance analysis, Knowledge of performance test development and benchmarking for CPU and I/O, Deep knowledge of CPU microarchitecture and system architecture
Nice to Have
PhD or Research experience, GPU driver experience, Knowledge of GPU-accelerated workloads and modeling performance of accelerated workloads, Experience with performance optimization of AI frameworks such as PyTorch, ARM instruction set architecture (ISA) experience preferable
What You'll Do.
Work on workload bring-up
Perform performance analysis/projection
Study workloads for AI/DL
Study real world use-cases
Identify critical application behavior
Reduce use-cases to directed test cases
Analyze and debug performance scaling bottlenecks on multi-core
Work with CPU and interconnect architects to improve
Benchmark NVIDIA’s CPU offerings against competition
Suggest software or hardware improvements
How You'll Work.
Team & Collaboration
CPU and interconnect architects
Full Job Description
Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products! **What you 'll be doing:** * Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator. * Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles. * Study real world use-cases and identify critical application behavior and reduce to directed test cases. * Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems. * Work with CPU and interconnect architects to improve future CPU and system designs based on your findings. * Benchmark NVIDIA’s CPU offerings against competition and suggest software or hardware improvements. **What we need to see:** * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience. * 7+ years of relevant experience. * Experience with CPU workloads and performance analysis. * Knowledge of performance test development and benchmarking for CPU and I/O. * Deep knowledge of CPU microarchitecture and system architecture. * Experience with the ARM instruction set architecture (ISA) preferable but not required. **Ways to stand out from the crowd:** * PhD or Research experience. * GPU driver experience. * Knowledge of GPU-accelerated workloads and modeling performance of accelerated workloads. * Experience with performance optimization of AI frameworks such as PyTorch. NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries — from robotics and autonomous vehicles to healthcare and climate resea
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