NVIDIA

Accelerated Computing

SeniorCPUPerformanceArchitect

$224–431k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior CPU Performance Architect at NVIDIA. Skills: CPU Performance, Architecture, Data Visualization, Python. Study workloads for markets. Develop infrastructure to visualize bottlenecks”

What You'll Achieve.

Improve future CPU and system designs

Industry & Context.

Accelerated Computing
Problems you'll solve

Analyze and debug performance scaling bottlenecks

What They're Looking For.

Must Have

BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience, Experience with data visualization techniques, Python programming, Familiarity with compiler concepts, Understanding of modern web development technologies, Understanding of modern software development methodologies, 12+ years of relevant experience, Experience with CPU workloads, Experience with performance analysis, Knowledge of CPU microarchitecture

Nice to Have

PhD or research experience, Experience with performance programming, Experience with software optimization, Knowledge of GPU-accelerated workloads, Experience with Kubernetes, Experience with enterprise security protocols, Experience with SQLite

What You'll Do.

Study workloads for markets

Develop infrastructure to visualize bottlenecks

Develop performance analysis tools

Analyze and debug performance bottlenecks

Work with architects to improve designs

How You'll Work.

Team & Collaboration

Work with CPU 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: ** * Study workloads for a wide range of markets, including CSP, HPC, AI / DL, and autonomous vehicles. * Develop infrastructure to visualize CPU performance bottlenecks on important workloads. * Develop performance analysis tools. * Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems. * Work with CPU architects to improve future CPU and system designs based on your findings. **What we need to see: ** * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience. * Experience with data visualization techniques and Python programming. * Familiarity with compiler concepts. * Understanding of modern web development technologies (JavaScript, D3, and Django) and modern software development methodologies (CI/CD). * 12+ years of relevant experience. * Experience with CPU workloads and performance analysis. * Knowledge of CPU microarchitecture. **Ways to stand out from the crowd: ** * PhD or research experience * Experience with performance programming and software optimization. * Knowledge of GPU-accelerated workloads. * Experience with Kubernetes, enterprise security protocols, and SQLite. 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 research. With the introduction of the Grace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, comp

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