Senior Research Scientist, AI-Mediated Reality And Interaction
Used Tools & Technologies
LLMRequired Skills & Competences
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.
Python @ 7
Algorithms @ 4
Communication @ 4
PyTorch @ 6
CUDA @ 7
Deep Learning @ 6
AI @ 4
Computer Vision @ 4
- 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 Research’s AI-Mediated Reality and Interaction team is looking for senior research scientists. Our mission is to create interactive physical AIs capable of operating in dynamic 4D worlds. We conduct fundamental research on the algorithms, theory and application of human-AI interaction and 4D world modeling using new ideas in artificial intelligence (AI), neural rendering, graphics, generative modeling, large language models, human behavior understanding and digital human creation. That research impacts many existing NVIDIA products, including Isaac, Omniverse, Metropolis, NuRec, XR, AI4Media, XR, and helps create new ones. We need a highly creative, independent and self-starting experienced research scientist to help us invent that future. Come join a diverse research group that collaboratively works on hard and meaningful interdisciplinary problems with passion, drive and curiosity; that consistently publishes and demonstrates cutting-edge technology at top venues in computer vision, artificial intelligence and graphics; and that values real impact on NVIDIA products and the industry at large.
Responsibilities
- Propose novel fundamental research that advances the state-of-the-art in the broader research community and is relevant to NVIDIA’s business; and prototype and test your ideas.
- Patent and publish your research in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.).
- Collaborate with other research team members, external researchers, and mentor interns and junior researchers.
- Create working interactive demonstrations to showcase your research ideas.
- Participate in technology transfer with engineers around NVIDIA as ideas “graduate” from research to product.
Requirements
- Ph.D. in Computer Science/Electrical Engineering or equivalent research experience.
- 3+ years of relevant postdoctoral or industrial research experience.
- Outstanding research and publication track record exemplified in conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.
- Proficiency in theory and practice of AI and computer vision algorithms.
- Experience with 3D graphics development.
- Strong programming skills in Python & C++; CUDA is a plus.
- Proficiency with distributed deep learning training frameworks, e.g., PyTorch.
- Excellent communication skills.
Compensation & Other Details
- The base salary range is 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 May 8, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.