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求人NVIDIA

Senior Research Scientist, Fundamental Generative AI

NVIDIA

Senior Research Scientist, Fundamental Generative AI

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

2w ago

NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We strive for research that pushes boundaries and builds the next generation of generative models but also has an impact on the world. We are interested in advancing generative AI methods for biomolecular design, including small molecule, protein, and RNA design, as well as other scientific applications (i.e., GenAI4Science). You are expected to have a strong mathematical foundation and be capable of analyzing and developing novel models. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking research. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning and AI for science. You will be empowered to make contributions that create real-world impact.

What you'll be doing:

  • Research, design, and implement novel, large-scale generative AI methods.

  • Publish original research.

  • Collaborate with team members, research teams, as well as product teams.

  • Speak at conferences and events.

  • Transfer technology to product groups.

What we need to see:

  • A Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience). 2+ years of relevant industry or postdoc research experience.

  • Excellent knowledge of the theory and practice of generative AI.

  • Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.

  • Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).

  • Knowledge of deep learning frameworks, such as Py Torch.

  • Outstanding research track record.

  • Excellent interpersonal skills.

We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous researcher with a real passion for computer architecture and technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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NVIDIAについて

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

従業員数

Santa Clara

本社所在地

$4.57T

企業価値

レビュー

4.1

10件のレビュー

ワークライフバランス

3.5

報酬

4.2

企業文化

4.3

キャリア

4.5

経営陣

4.0

75%

友人に勧める

良い点

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

改善点

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

給与レンジ

73件のデータ

L3

L4

L5

L3 · Data Scientist IC2

0件のレポート

$177,542

年収総額

基本給

-

ストック

-

ボーナス

-

$150,910

$204,174

面接体験

7件の面接

難易度

3.1

/ 5

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

よくある質問

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR