Senior CPU Performance Architect

NVIDIA•Austin, TX

6d•$224,000 - $431,250

About The Position

NVIDIA is seeking a Senior CPU Performance Architect to help develop CPU technology for architectures serving AI and deep learning, high-performance computing, cloud service providers, gaming, virtual reality, and autonomous vehicles. The role is part of the CPU performance architecture team and focuses on workload bring-up, performance analysis and projection on silicon and full-system simulators, and identifying opportunities to improve future CPU and system designs. The architect will assess workloads across multiple markets, analyze performance bottlenecks in multi-core, multi-socket, and CPU/GPU systems, and benchmark NVIDIA CPU products against competitors. NVIDIA’s CPU architecture team develops CPUs that complement the company’s GPUs and SoCs and support demanding workloads, including AI training, agentic use cases, data processing, and cloud deployments. The role’s base salary ranges are $224,000–$356,500 for Level 5 and $272,000–$431,250 for Level 6. The position is also eligible for equity and benefits. Applications will be accepted at least until November 3, 2026. The posting is for an existing vacancy.

Requirements

Bachelor’s or master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
12 or more 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.

Nice To Haves

Experience with the ARM instruction set architecture (ISA).
PhD or research experience.
GPU driver experience.
Knowledge of GPU-accelerated workloads and performance modeling of accelerated workloads.
Experience optimizing the performance of AI frameworks such as PyTorch.

Responsibilities

Bring up workloads and perform performance analysis and projections on silicon and full-system simulators.
Study workloads across AI and deep learning, cloud service providers, high-performance computing, and autonomous vehicles.
Study real-world use cases, identify critical application behavior, and reduce it to directed test cases.
Analyze and debug performance-scaling bottlenecks on multi-core and multi-socket CPU systems and CPU/GPU systems.
Work with CPU and interconnect architects to improve future CPU and system designs based on findings.
Benchmark NVIDIA CPU offerings against competitors and recommend software or hardware improvements.