Senior Research Scientist for Generative AI
Nvidia
At a glance
AI generatedJoin NVIDIA’s fundamental generative AI research team as a senior researcher to advance the state-of-the-art in biomolecular design and other scientific applications. You will conduct groundbreaking research on large-scale generative models, publish findings in top-tier venues, collaborate with cross-functional teams, and transfer technology to product groups. Ideal candidates hold a Ph.D. in Computer Science or related fields, with 2+ years of industry or postdoc experience, strong expertise in generative AI theory and practice, and hands-on experience building scientific data models. Proficiency in Python, C++, CUDA for parallel programming, and deep learning frameworks like PyTorch is essential, along with an outstanding research track record and excellent interpersonal skills. This role offers the freedom to make significant real-world impacts through cutting-edge technology development.
Skills
What you'll do
What we're looking for
Market check
This $192,000–$304,750 range sits above 81% of similar postings on FindRole.
Peer median band
$178,937–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$172,375–$246,150
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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