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, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 12+ years of relevant experience
- BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
- Experience with data visualization techniques and Python programming
- Understanding of modern web development technologies (JavaScript, D3, Django)
- Knowledge of CPU microarchitecture
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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