Senior CPU Performance Architect
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Software Development @ 4
Kubernetes @ 4
Python @ 4
CI/CD @ 4
Django @ 4
JavaScript @ 4
Web Development @ 4
SQLite @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
Data Visualization @ 4
HPC @ 4
Performance Analysis @ 4
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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!
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.
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.
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.
Company & context
NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. With the introduction of the Grace CPU Superchip and the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency.
Compensation & application
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer.