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Computer Graphics Intern Jobs in Morgan Hill, CA

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Computer Graphics Intern information

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How much do computer graphics intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computer graphics intern in Morgan Hill, CA is $14.84, according to ZipRecruiter salary data. Most workers in this role earn between $13.17 and $16.44 per hour, depending on experience, location, and employer.

What types of projects or tasks can a computer graphics intern expect to work on during their internship?

As a Computer Graphics Intern, you can expect to assist with creating 2D or 3D visual assets, supporting animation projects, and working on the implementation of graphics in interactive media or software. Your day-to-day tasks might include collaborating with designers and engineers, refining graphic elements, optimizing renders, or helping test visual features for games, simulations, or visualizations. Interns often have opportunities to participate in team meetings, receive mentorship from senior artists or developers, and contribute creative ideas during brainstorming sessions. This hands-on experience not only builds your technical skills but also enhances your understanding of how cross-functional teams collaborate in a professional production environment.

What are the key skills and qualifications needed to thrive as a computer graphics intern?

To thrive as a Computer Graphics Intern, you need a foundational knowledge of computer graphics principles, proficiency in relevant programming languages (such as C++ or Python), and experience with graphics software like Adobe Creative Suite or Blender. Familiarity with industry-standard tools and platforms, such as Unity or Unreal Engine, is highly valued, and relevant coursework or certifications can enhance your qualifications. Strong teamwork, clear communication, and creative problem-solving abilities help you contribute effectively and learn from experienced team members. These competencies are crucial for delivering quality visual content, collaborating within multidisciplinary teams, and adapting to the fast-evolving graphics technology landscape.

What is a computer graphics intern?

A Computer Graphics Intern assists in creating visual content using software like Blender, Maya, or Adobe Suite. They may work on 3D models, animations, rendering, or image processing for projects in gaming, film, or other digital media industries. Interns usually collaborate with designers and developers to refine graphics, optimize performance, and ensure high-quality visuals. This role provides hands-on experience in computer graphics workflows and software tools, helping interns build a strong portfolio for future careers.

What are popular job titles related to Computer Graphics Intern jobs in Morgan Hill, CA? For Computer Graphics Intern jobs in Morgan Hill, CA, the most frequently searched job titles are:
What cities near Morgan Hill, CA are hiring for Computer Graphics Intern jobs? Cities near Morgan Hill, CA with the most Computer Graphics Intern job openings:
Infographic showing various Computer Graphics Intern job openings in Morgan Hill, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $30,877 per year, or $14.8 per hour.

Research Intern - World-Action Foundation Model, Robotics

Applied Intuition

Sunnyvale, CA • On-site

Other

Re-posted 29 days ago


Job description

Research Intern

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role:

We are looking for multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA.

Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

At Applied Intuition, you will:
  • Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
  • Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation.
  • Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
We're looking for someone who has:
  • Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
  • Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
  • Passion for next-generation, scalable autonomy and robotics

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.