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Computer Vision Intern Jobs in Los Altos, CA (NOW HIRING)

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Computer Vision Intern information

What is a computer vision intern?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

What are some typical projects or tasks a computer vision intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the key skills and qualifications needed to thrive in the computer vision intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

What are the most commonly searched types of Computer Vision jobs in Los Altos, CA?

The most popular types of Computer Vision jobs in Los Altos, CA are:

What are popular job titles related to Computer Vision Intern jobs in Los Altos, CA?

For Computer Vision Intern jobs in Los Altos, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Intern jobs in Los Altos, CA look for?

The top searched job categories for Computer Vision Intern jobs in Los Altos, CA are:

What cities near Los Altos, CA are hiring for Computer Vision Intern jobs?

Cities near Los Altos, CA with the most Computer Vision Intern job openings:

Computer Vision Intern jobs near you
Infographic showing various Computer Vision Intern job openings in Los Altos, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

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 Learningteams.We'reseekingstrategic, ambitious, hard-working,collaborative,and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Learn more aboutResearch 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

Clickhereto 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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