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Nvidia NVIDIA Internships PhD Computer Vision Deep Learning Research 
United States, California 
556879098

Yesterday

שיתוף

התחבר/י כדי להגיש מועמדות
US, CA, Santa Clara
time type
Full time
posted on
Posted 7 Days Ago
job requisition id

your resume,expressing interest in one of our 2026Computer Vision and Deep Learning focusedreview resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

with one of our industry leadingComputer Vision and Deep Learningegic, a

Learn more about

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 PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.

  • 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.

nternships 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

and other helpful student resources related to our latest technologies and endeavors.

You will also be eligible for Intern

Applications are accepted on an ongoingbasis.is committed to fostering a diverse 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.

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