Role at a glance
- Salary
- $38 – $94/hr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Internship
- Experience
- Strong background in research with publications at top conferences.
- Education
- Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for...
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Role Summary
This Ph.D. research internship is with NVIDIA’s Computer Vision and Deep Learning teams. Interns develop research methods and transfer results to product groups, with deliverables including prototypes, patents, products, or original research publications.
What You'll Do
- Design and implement novel computer vision and deep learning methods.
- Collaborate with other team members, teams, and/or external researchers.
- Transfer research to product groups to enable new products or types of products.
- Deliver prototypes, patents, products, and/or publish original research.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Active Ph.D. enrollment in Computer Science, Electrical Engineering, or a related field for the full internship duration; anticipated graduation date clearly indicated on a resume or CV; Python, C++, CUDA, and deep learning frameworks such as PyTorch or TensorFlow; strong research background with publications at top conferences; excellent communication and collaboration skills; research experience in at least one listed computer vision or deep learning area.
Required
- Actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field
- Anticipated graduation date (month and year) clearly indicated on a resume or CV
- Python
- C++
- CUDA
- Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
- Strong background in research with publications at top conferences
- Excellent communication and collaboration skills
Preferred
- Experience with large-scale model training
- 3D Vision and Scene Understanding
- Optical Flow/Scene Flow
- SLAM
- Depth Estimation
- Digital Twins
- Human-Centric Vision
- Human Motion Modeling
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 on experience with one of our industry leading Computer Vision and Deep Learning teams. We’re seeking strategic, 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 and deep learning methods.
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 could include 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.
Potential internships 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 here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
You will also be eligible for Intern benefits.
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.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.