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# Senior CPU Performance Architect

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $224,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, ARM Architecture, Cloud Computing, Computer Engineering, Software Debugging, Multiprocessing, Performance Tuning, Cloud Services, Systems Architecture, Test Case, High Performance Computing, Pytorch, Virtual Reality, Deep Learning, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-cpu-performance-architect-santa-clara-ca--8e27e647-fd21-4065-9633-fce332bf0e67

## About the Role

CPU (Central Processing Unit), Deep Learning, CPU (Central Processing Unit), Virtual Reality, Gaming, Cloud Computing, Artificial Intelligence (AI), Performance Analysis, Use Cases, Test Case, * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

 * 12+ 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.

## Description

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:

 * 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.