Senior Research Scientist, AI-Mediated Reality and Interaction

Reposted 21 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
192K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves proposing and testing novel research in AI-Mediated Reality, collaborating with teams, and mentoring. Publication in top conferences is essential.
Summary Generated by Built In

We are now looking for a Senior Research Scientist for AI-Mediated Reality and Interaction:

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.

What you’ll be doing:

  • 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.

What we need to see:

  • 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most resourceful and dedicated people in the world working for us. Are you creative and collaborative researcher who loves the challenge of exploring and crafting techniques that will define our future products? If so, 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 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.

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.

Skills Required

  • 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 in top-tier conferences
  • Proficiency in theory and practice of AI and computer vision algorithms
  • Experience with 3D graphics development
  • Strong programming skills in Python & C++
  • Proficiency with distributed deep learning training frameworks, e.g., PyTorch
  • Excellent communication skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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