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.