Senior Research Scientist, Fundamental Generative AI

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$192,000–$304,750 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $248k
$165k $320k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $185,375–$254,750 — the blue band above. At the midpoint, this role pays about $248k versus about $220k 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 1792 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1179 roles with salary data.

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At a glance

TL;DR · Senior Research Scientist, Fundamental Generative AI

The Senior Research Scientist, Fundamental Generative AI will join the fundamental generative AI research team at NVIDIA Research to advance generative AI methods for biomolecular design. This role focuses on fundamental research involving small molecule, protein, and RNA design, as well as other scientific applications under the GenAI4Science initiative. The successful candidate will research, design, and implement novel, large-scale generative AI methods, publish original research, and collaborate with various internal teams to transfer technology to product groups. Key requirements include a Ph.D. in Computer Science, Engineering, or Statistics, along with experience in building generative models for molecules, molecular dynamics, proteins, or RNA. Candidates must possess excellent programming skills in Python, C++, and CUDA, alongside proficiency in deep learning frameworks like PyTorch and a strong mathematical foundation.

What does a Research Scientist earn in California?

Median $216250 from 35 postings across 10 companies.

See salary data

What you'll do

  • Research, design, and implement novel, large-scale generative AI methods.
  • Publish original research in top-tier machine learning and AI for science venues.
  • Develop generative models for biomolecular design, including small molecules, proteins, and RNA.
  • Advance generative AI methods for various scientific applications under the GenAI4Science initiative.
  • Transfer developed technologies to internal product groups for real-world application.
  • Speak at industry conferences and events to represent the research team.
  • Analyze and develop novel models using a strong mathematical foundation.

What we're looking for

  • Ph.D. in Computer Science, Engineering, Statistics, or equivalent experience.
  • 2+ years of relevant industry or postdoc research experience.
  • Excellent knowledge of the theory and practice of generative AI.
  • Experience building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
  • Excellent programming skills in prototyping environments such as Python, C++, and parallel programming (e.g., CUDA).
  • Knowledge of deep learning frameworks such as PyTorch.
  • Outstanding research track record.
  • Excellent interpersonal skills.

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