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.
- 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.
