Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Computer Vision @ 8
GenAI
Generative AI
NLP
Python @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Research Scientist in generative AI to conduct original research for image, video, 3D, and audio generation. The role involves building research prototypes, scaling them with large datasets and compute, and collaborating with product teams to integrate research innovations into products.
Responsibilities
- Conduct original research in generative AI.
- Implement and train large-scale generative AI models for content creation applications.
- Collaborate with research team members, internal product teams, and external researchers.
- Transfer developed technologies to relevant product groups to create broader product impact.
Requirements
- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 5+ years of relevant research experience.
- Excellent collaboration and interpersonal skills.
- Excellent Python and C++ programming skills.
- Strong knowledge of common deep-learning frameworks.
- Experience processing or curating large-scale datasets.
- Excellent knowledge of deep-learning theory and practice, computer vision, natural language processing, or computer graphics.
- Track record of research excellence or significant product development experience.
- Genuine interest in advancing the state of AI.
Benefits
- Eligibility for equity and benefits.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
- NVIDIA uses AI tools in its recruiting processes.
Applications will be accepted at least until February 23, 2026. This posting is for an existing vacancy.
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