Skip to main content
Back to jobs

Senior CPU Performance Architect

External
NVIDIA logoNvidia · Santa Clara, CA
Full-timeOn-site2w ago
ExpressPyTorch
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


Responsibilities

  • Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.
  • Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.
  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.
  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.
  • Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.
  • Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.
  • What we need to see:
  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
  • 7+ years of relevant experience.
  • Experience with CPU workloads and performance analysis.
  • Knowledge of performance test development and benchmarking for CPU and I/O.
  • Deep knowledge of CPU microarchitecture and system architecture.
  • Experience with the ARM instruction set architecture (ISA) preferable but not required.
  • Ways to stand out from the crowd:
  • PhD or Research experience.
  • GPU driver experience.
  • Knowledge of GPU-accelerated workloads and modeling performance of accelerated workloads.
  • Experience with performance optimization of AI frameworks such as PyTorch.
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits .
  • Applications for this job will be accepted at least until June 7, 2026. This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.

Additional Information

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!


Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at NVIDIA? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect