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Senior Research Scientist for Generative AI

NVIDIA

Senior Research Scientist for Generative AI

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

1mo ago

Compensation

$192,000 - $356,500

Benefits & Perks

401(k) matching

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Parental leave

Professional development budget

Healthcare

Flexible Hours

Parental Leave

Learning

Required Skills

TypeScript

React

Python

About the Role

NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models.

What You'll Be Doing

  • Conduct original research in the space of generative AI
  • Implement and train large-scale generative AI models for various content creation applications
  • Collaborate with other research team members, a diverse set of internal product teams, and external researchers
  • Have a broader impact through the transfer of the technology you've developed to relevant product groups
  • Build research prototypes and scale them with large datasets and compute
  • Work with product teams to help them integrate your ideas into products

What We Need to See

  • Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)
  • 5+ years of relevant research experience
  • Excellent collaboration and interpersonal skills
  • Excellent python/C++ programming skills
  • Great knowledge of common deep-learning frameworks
  • Experience in processing or curating large-scale datasets
  • Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics
  • Track record of research excellence or significant product development

Compensation and Benefits

  • Base salary: 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5 (determined based on your location, experience, and the pay of employees in similar positions)
  • Eligible for equity and benefits

Additional Information

Applications for this job will be accepted at least until January 13, 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.

NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

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About NVIDIA

NVIDIA

NVIDIA

Public

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

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

L3

L4

L5

L3 · Data Scientist IC2

0 reports

$177,542

total / year

Base

-

Stock

-

Bonus

-

$150,910

$204,174

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR