Research Scientist, Fundamental Generative AI

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $168,000–$264,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $204k

This role $216k

$145k most similar roles pay here $277k

This role pays more than 59% of similar roles. Most pay $157,712–$249,968 — the shaded band above. At the midpoint, this role pays about $216k versus about $204k for comparable roles.

Based on 240 similar postings.

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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 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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At a glance

TL;DR · Research Scientist, Fundamental Generative AI

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Research Scientist, Fundamental Generative AI - New College Grad 2026 will join the fundamental generative AI research team at NVIDIA Research to push boundaries in next-generation generative models. The role involves researching, designing, and implementing novel, large-scale generative AI methods while publishing original research, collaborating with product teams, and speaking at conferences. Candidates must possess a strong mathematical foundation to analyze and develop models for text, image, video, 3D, or scientific applications like biology, chemistry, and material science. Required technical skills include proficiency in Python, C++, CUDA parallel programming, and deep learning frameworks such as PyTorch. The position focuses on fundamental research aimed at solving complex problems in multimodal data and generative AI methods to create real-world impact through the development of advanced models for diverse scientific and media applications.

What does a Research Scientist earn?

Median $221000 from 34 postings across 11 companies.

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Skills

Generative AI Python C++ CUDA PyTorch Deep Learning Parallel Programming Computer Architecture Machine Learning

What you'll do

Research, design, and implement novel large-scale generative AI methods for text, image, video, 3D, or scientific applications.
Publish original research in top machine learning venues.
Develop advanced models for multimodal data or specialized fields like biology, chemistry, and material science.
Translate and transfer developed technologies to internal product groups.
Represent the company by speaking at industry conferences and events.
Utilize Python, C++, and CUDA to prototype and implement deep learning models.

What we're looking for

A Ph.D. in Computer Science, Engineering, Statistics, or equivalent experience is required.
Candidates must possess a strong mathematical foundation for analyzing and developing novel models.
Excellent knowledge of the theory and practice of generative AI is required.
Experience building generative models for text, image, 3D, video, multimodal, or scientific data is required.
Proficiency in Python, C++, and parallel programming such as CUDA is required.
Knowledge of deep learning frameworks like PyTorch is required.
An outstanding research track record is required.
Excellent communication skills are required.

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