Quick summary
- Work type
- On-site
- Location
- —
- Salary
- $272,000–$431,250 / yr
- Employment
- Full-time
- Posted
- 80 days ago
- Freshness
- Confirmed live yesterday
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $229k
This role $352k
$154k
most similar roles pay here
$461k
This role pays more than 98% of similar roles. Most pay $203,450–$255,000 — the shaded band above. At the midpoint, this role pays about $352k versus about $229k 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 1371 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.
Most-posted roles
- Software Engineer 122
- Solutions Architect 76
- System Software Engineer 74
- Systems Software Engineer 30
- Developer Relations Manager 27
At a glance
TL;DR · Principal CPU Performance Architect
As a Principal CPU Performance Architect on the CPU Performance Architecture team, you will innovate and improve CPU performance through modern microarchitectural ideas. You will model potential improvements to determine merit and feasibility while implementing effective solutions in collaboration with build, verification, and post-silicon teams. Your daily work involves resolving critical issues related to timing, power, and area to achieve flawless implementation while partnering with lead microarchitects to meet specific performance targets. The role requires a deep understanding of brand new CPU microarchitecture across front end, midcore, and memory subsystem areas. You must possess at least 16 years of experience in frontline roles for new CPU projects. Key skills include performance modeling, debugging, and the ability to advocate for complex ideas. This role focuses on solving technical challenges within the core architecture of high-performance computing systems.
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