About the job
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!
Responsibilities
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.
Qualifications
Minimum
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.
Preferred
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.