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
Posted: 156 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 $206k

This role $290k

$143k most similar roles pay here $379k

This role pays more than 92% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $206k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior CPU Performance Architect

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As a Senior CPU Performance Architect on the CPU performance architecture team, you will drive technical advancements for CPU products supporting artificial intelligence, deep learning, high-performance computing, cloud services, gaming, virtual reality, and autonomous vehicles. Your daily responsibilities include workload bring-up, performance analysis, and projection using silicon and full-system simulators. You will study real-world use cases to identify critical application behaviors, develop directed test cases, and debug performance scaling bottlenecks on multi-core and multi-socket CPU and GPU systems. Collaborating with architects, you will suggest hardware or software improvements based on competitive benchmarking. The role requires expertise in CPU microarchitecture, system architecture, and performance test development for CPU and I/O. Preferred skills include the ARM instruction set architecture, GPU driver experience, and optimization of AI frameworks like PyTorch to solve complex computational bottlenecks.

Skills

CPU Microarchitecture System Architecture GPU PyTorch Benchmarking Performance Analysis HPC AI Deep Learning I/O

What you'll do

Perform workload bring-up and performance analysis on silicon and full-system simulators.
Study diverse workloads for markets including AI/DL, CSP, HPC, 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, multi-socket, and CPU/GPU systems.
Provide findings to architects to improve future CPU and system designs.
Benchmark NVIDIA’s CPU offerings against competitors to suggest hardware or 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) is preferred.
PhD or research experience is a plus.
Experience with GPU drivers, accelerated workloads, or AI framework optimization is a plus.

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