--- title: Research Intern, Spatial Intelligence at NVIDIA description: NVIDIA is hiring for the Research Intern, Spatial Intelligence role in Santa Clara, CA. Full-time role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/research-intern-spatial-intelligence-at-nvidia-01a127c1-52d9-7325-89d6-dab1d882fae1 date: 2026-11-15T01:26:44Z og_description: Join NVIDIA as Research Intern, Spatial Intelligence in Santa Clara, CA. Pays $38–$94 per hour. Full-time role. og_image: https://www.foundrole.com/og/y6609t.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) | | **Location** | Santa Clara, CA | | **Salary** | $38/hr - $94/hr | | **Type** | Intern | | **Posted** | Oct 08, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for NVIDIA. ## Pay for similar jobs Most similar jobs pay about $137,000 a year. ## Description NVIDIA is searching for an outstanding computer vision and deep learning intern researcher to join the spatial intelligence lab. We are passionate about research that pushes boundaries but also has impact in the real world! **What you’ll be doing:** - Research, design and implement methods for one of the key research topics of the team: generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, VLMs. - Publish original research at the end of the internship. - Collaborate with other team members and teams. - Collaborate with external researchers. **What we need to see:** - Must currently be at least a second-year Ph.D. student in, e.g., Computer Science/Engineering, Mathematics. - Excellent knowledge of theory and practice of computer vision methods, as well as deep learning. - Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) - Knowledge of common machine learning frameworks, such as PyTorch. - Outstanding research track record. - Very good publication record in computer vision, with a minimum of 2 papers (1 as main author) published at top venues CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR. - Excellent communications skills. - Good knowledge of version control systems, e.g., git. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD. You will also be eligible for Intern [benefits](https://www.nvidia.com/en-us/benefits/interns/). ​ Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. ## Skills - Deep Learning - Rapid Prototyping - Python - Vision-Language Models (Vlm) - Git (Version Control System) - Software Versioning - Computer Vision - Mathematics - Generative AI - C++ - Simulations - NVIDIA CUDA - Computer Science - Version Control - Reinforcement Learning - Communication - Machine Learning - Generative AI Foundations - Distributed Systems ## Related - [More jobs at NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) - [Science & Research jobs](https://www.foundrole.com/careers/science-and-research?utm_source=ai_markdown)- [Research & Development jobs](https://www.foundrole.com/careers/science-and-research/research-and-development?utm_source=ai_markdown)- [Researcher / Research Associate jobs](https://www.foundrole.com/careers/science-and-research/research-and-development/researcher-research-associate?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Computer Hardware](https://www.foundrole.com/sectors/technology/computer-hardware?utm_source=ai_markdown) — 22574 jobs - [Santa Clara, CA](https://www.foundrole.com/locations/us/california/santa-clara?utm_source=ai_markdown) — 6822 jobs - [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) — 2765 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Computer Hardware](https://www.foundrole.com/sectors/technology/computer-hardware?utm_source=ai_markdown) — 22574 jobs - [Santa Clara, CA](https://www.foundrole.com/locations/us/california/santa-clara?utm_source=ai_markdown) — 6822 jobs - [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) — 2765 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)