Senior Deep Learning Performance Architect
Nvidia
At a glance
AI generatedNVIDIA is seeking a Senior Deep Learning Performance Architect to join its cutting-edge Deep Learning Architecture team. This role involves developing advanced HW architectures that enhance parallel computing performance, energy efficiency, and programmability for AI applications. The candidate will benchmark AI workloads, develop simulation tools in C++/Python, evaluate PPA metrics, collaborate with product management, and stay updated on deep learning trends. Ideal candidates hold an MS or PhD in a relevant field and have 4+ years of experience in parallel computing, GPU architecture evaluation, and deep learning applications. Strong skills in Python and C++, along with knowledge of computer architecture and transformer models, are essential. The role requires the ability to communicate complex technical concepts clearly and solve intricate problems within the fast-evolving AI industry.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 75% of similar postings on FindRole.
Peer median band
$181,087–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$185,162–$240,225
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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