Senior GPU Architect
Nvidia
At a glance
AI generatedAs a senior GPU architect joining our cutting-edge AI computing team, you will play a pivotal role in advancing the company’s technological leadership by developing and enhancing features for future GPU architectures. Your daily responsibilities include contributing to GPU Architecture Simulators, creating test plans, debugging tests on simulators, and validating performance models using C++, Python, CUDA, DX, and Vulkan. You will also model new graphics and parallel processing capabilities, requiring a deep understanding of computer architecture and parallel programming. Ideal candidates hold an MS or PhD in CS, EE, math, or a related field, with strong experience in machine learning, deep learning, and signal processing, making this role crucial for driving innovation at scale within our rapidly expanding tech landscape.
Skills
What you'll do
What we're looking for
Market check
This $124,000–$195,500 range sits above 21% of similar postings on FindRole.
Peer median band
$157,600–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$167,375–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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