Senior Research Scientist for Generative AI

NVIDIA Corporation; Santa Clara (CA); On-site; USD 192,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Research Scientist for Generative AI in Santa Clara, CA. Lead original research in generative AI, build prototypes, and collaborate with researchers and product teams to bring innovations into products.

The role emphasizes training large-scale models, handling big datasets, and translating research into practical deployments with compute-scale resources.

Qualifications

• PhD in CS/Engineering or related field or equivalent experience.
• 5+ years of relevant research experience.
• Excellent collaboration and interpersonal skills.
• Excellent Python/C++ programming skills.
• Strong knowledge of deep learning frameworks.
• Experience processing or curating large-scale datasets.
• Strong track record of research excellence or product development.

Responsibilities

• Conduct original research in generative AI.
• Implement and train large-scale generative AI models for content creation.
• Collaborate with researchers and product teams to transfer technology to products.
• Scale prototypes with large datasets and compute.

Skills

Python

C++

Deep learning frameworks

Large-scale data processing

Research experience

Education

PhD in Computer Science/Engineering or related field

Job description

We are now looking for a Senior Research Scientist for Generative AI!

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. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

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

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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI?

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:

192,000 USD - 304,750 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.