Senior CPU Performance Architect - AI/HPC Impact & Equity

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring for a CPU performance architecture role to study workloads across CSP, HPC, AI/DL, and autonomous vehicles. You will build infrastructure to visualize bottlenecks and develop performance analysis tools, collaborating with CPU architects to guide future designs.

We seek candidates with a strong background in CPU workloads, visualization with Python, and web tech like JavaScript, D3, and Django, plus knowledge of compiler concepts and CI/CD.

Qualifications

• 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.

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.

Skills

Data visualization

CPU workloads

CPU microarchitecture

Performance analysis

JavaScript

D3

Django

CI/CD

Education

BS/MS in Electrical Engineering, Computer Science, or Computer Engineering

Tools

Python programming

Web development tools

Job description

NVIDIA is hiring for a CPU performance architecture role to study workloads across CSP, HPC, AI/DL, and autonomous vehicles. You will build infrastructure to visualize bottlenecks and develop performance analysis tools, collaborating with CPU architects to guide future designs.

We seek candidates with a strong background in CPU workloads, visualization with Python, and web tech like JavaScript, D3, and Django, plus knowledge of compiler concepts and CI/CD.