Senior CPU Performance Architect

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CAAustin, TXHillsboro, OR
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $290k

$145k $379k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $187,687–$243,512 — the blue band above. At the midpoint, this role pays about $290k versus about $216k 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 1792 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1179 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior CPU Performance Architect

Role Posting Log in to save

The Senior CPU Performance Architect joins the CPU performance architecture team to push performance boundaries for various CPU products. This role involves workload bring-up, performance analysis, and projection using silicon and full-system simulators. The architect will study workloads for AI, deep learning, high-performance computing, cloud service providers, gaming, virtual reality, and autonomous vehicles. Key responsibilities include identifying critical application behavior, debugging performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems, and benchmarking offerings against competition. Required skills include deep knowledge of CPU microarchitecture, system architecture, and performance test development. Candidates should possess experience with CPU workloads, I/O benchmarking, and potentially the ARM instruction set architecture. The work focuses on optimizing performance-per-watt efficiency for complex workloads across diverse markets.

Skills

CPU Microarchitecture System Architecture PyTorch Performance Analysis Benchmarking HPC AI Deep Learning Full-system Simulator CPU/GPU Systems Performance Optimization

What you'll do

Perform workload bring-up and performance analysis on silicon and full-system simulators.
Study workloads for AI, deep learning, high-performance computing, and autonomous vehicles.
Identify critical application behaviors from real-world use-cases to create directed test cases.
Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU systems.
Provide design improvements for future CPU and interconnect architectures based on performance findings.
Benchmark NVIDIA CPU offerings against competitors to suggest hardware and software improvements.

What we're looking for

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) (preferred).
PhD or Research experience (preferred).
GPU driver experience (preferred).

Save