Senior CPU Performance Architect

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA · Austin, TX · Hillsboro, OR
Salary: $184,000–$287,500 / yr
Posted: 1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k

This role $236k

$142k most similar roles pay here $303k

This role pays more than 83% of similar roles. Most pay $165,450–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 860 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 848 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior CPU Performance Architect

Apply Now Log in to save

Join the CPU performance architecture team as a senior specialist to drive the development of cutting-edge CPU technology for diverse applications including artificial intelligence, high-performance computing, cloud services, gaming, and autonomous vehicles. Your daily tasks will involve workload bring-up and performance analysis on silicon and full-system simulators, studying real-world use-cases across various markets, identifying critical application behaviors, and debugging performance bottlenecks in multi-core and multi-socket systems. You’ll collaborate closely with CPU and interconnect architects to enhance future designs based on your insights and benchmark NVIDIA’s CPUs against competitors, suggesting improvements for both software and hardware. Ideal candidates have a BS/MS in Electrical Engineering or Computer Science, 7+ years of relevant experience, expertise in CPU microarchitecture and system architecture, and knowledge of performance test development and benchmarking. Additional desirable skills include GPU driver experience, understanding of GPU-accelerated workloads, and proficiency with AI frameworks like PyTorch.

Skills

Python C++ ARM PyTorch Linux Benchmarking PerformanceAnalysis MultiCoreSystems CPUMicroarchitecture GPUDrivers CUDA AIFrameworks HPC CloudServices AutonomousVehicles DeepLearning VirtualReality Gaming

What you'll do

Conduct workload bring-up and performance analysis on silicon and full-system simulators.
Study real-world use-cases to identify critical application behavior for various markets.
Analyze and debug performance scaling bottlenecks in multi-core and multi-socket CPU systems.
Work with architects to improve future CPU designs based on performance findings.
Benchmark NVIDIA’s CPUs against competitors and recommend software or hardware improvements.

What we're looking for

BS/MS in Electrical Engineering, Computer Science, or equivalent experience.
7+ years of relevant CPU workload analysis and performance tuning experience.
Deep understanding of CPU microarchitecture and system architecture.
Proficiency in developing performance tests and benchmarks for CPUs and I/O.
Experience analyzing and debugging multi-core and multi-socket CPU/GPU systems.
Knowledge of ARM instruction set architecture (ISA) preferred.
Familiarity with GPU-accelerated workloads and AI framework optimization.

Save