Senior CPU Performance Architect
About The Position
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! 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.
Requirements
- 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.
Nice To Haves
- PhD or research experience
- Experience with performance programming and software optimization.
- Knowledge of GPU-accelerated workloads.
- Experience with Kubernetes, enterprise security protocols, and SQLite.
Responsibilities
- 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.
Benefits
- equity
- benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
