By submitting your resume, you acknowledge that your Ph.D. Research Computer Vision and Deep Learning internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
Our internships offer an excellent opportunity to expand your career and get hands onexperiencewith one of our industry leadingComputer Vision and Deep LearningteamsWe’reseekingstrategic, ambitious, hard-working,collaborative,and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA
What you will be doing:
Design and implement novel computer vision anddeep learningmethods.
Collaborate with other team members, teams, and/or external researchers.
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products,and/or publishing original research
What we need to see:
Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year)must be clearly indicated on a resume or CV to be considered.
Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:
Python, C++, CUDA, Deep Learning Frameworks (PyTorch,TensorFlow, etc.)
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training is a plus.
Potentialinternships require research experience in at least one of the following areas:
3D Vision and Scene Understanding
Optical Flow/Scene Flow
SLAM
Depth Estimation
Digital Twins
Human-Centric Vision
Human Motion Modeling
Human avatar creation (Gaussian Avatar, Neural Human Avatars, Text to Avatar Generation)
Physics-Based Clothing/Hair/Body Simulation
Neural Rendering and Generative 3D
Diffusion Models
World Models
Neural Radiance Fields (NeRFs)
Novel View Synthesis
3D Content Creation
Model Architectures and Efficiency
Efficient Deep Learning
Model pruning and compression
Efficient vision transformers
Neural Architecture Search (NAS)
Multimodal and Vision-Language Models
Synthetic data generation
Weather and Atmospheric Simulation
Click hereto learn more about NVIDIA, our early talent programs, benefits offered to studentsand other helpful student resources related to our latest technologies and endeavors.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Internbenefits
Applications are accepted on an ongoing basis.
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.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
