We are now looking for a Senior Research Scientist for Human‑AI Perception & Interaction! NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will be working in a team of research scientists and engineers from varied backgrounds and will closely collaborate with product engineers. Join us in redefining the future of AI and human interaction!
What you'll be doing:
Propose, research, prototype and test innovative research ideas.
Publish at top conferences and patent novel inventions.
Collaborate with other research team members, external researchers, and mentor interns.
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. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
3+ years of relevant work experience
Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
Proficiency with Python, Rust, and/or C++.
Experience with AI model training and evaluation frameworks, like PyTorch.
Ways to stand out from the crowd:
Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
Experience with multi-node, multi-GPU training and inference workflows.
Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.
You will also be eligible for equity and benefits.
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.Skills Required
- Ph.D. or equivalent research experience in Computer Science, Electrical Engineering, Cognitive Science, or related field.
- 3+ years of relevant work experience.
- Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
- Experience studying human behaviors in application domains such as gaming, driving, or human-robot interaction.
- Proficiency with Python, Rust, and/or C++.
- Experience with AI model training and evaluation frameworks (e.g., PyTorch).
- Demonstrated public portfolio (repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
- Experience with multi-node, multi-GPU training and inference workflows.
- Familiarity with modern deep learning models, including large-scale multi-modal foundation models, LLMs, VLMs.
- Track record of applying human behavior models to machine learning or using ML to model human behavior.
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.
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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.
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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.
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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
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.”
