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Internship 3D Props Modeling Jobs in California (NOW HIRING)

Environmental Designer

Los Angeles, CA · On-site

$70K - $90K/yr

Model and render entire spaces and custom scenic pieces to communicate and sell through design ... Manage and mentor 3D interns Requirements WHAT YOU WILL BRING TO THIS ROLE: Given the nature of ...

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Internship 3D Props Modeling information

What does an internship 3D props modeling position involve?

An Internship in 3D Props Modeling typically involves assisting in the creation of 3D models of objects (props) used in films, video games, or animations. Interns work with modeling software such as Blender, Maya, or 3ds Max to design, sculpt, texture, and sometimes rig props under the supervision of experienced artists. The role offers hands-on experience in a production environment, allowing interns to build their portfolios and gain insight into industry workflows. Interns also collaborate with other departments, such as concept art and animation, to ensure the props meet project requirements.

What are some common challenges faced by interns in 3D props modeling, and how can they overcome them?

Interns in 3D props modeling often encounter challenges such as adapting to new software workflows, balancing creativity with technical constraints, and collaborating effectively with other team members like animators and environment artists. To overcome these, it's helpful to seek feedback regularly, participate actively in team meetings, and practice using industry-standard tools like Blender or Maya. Staying organized and open to learning new techniques will also help interns quickly adapt and contribute meaningfully to projects.

What are the key skills and qualifications needed to thrive as an internship 3D props modeling, and why are they important?

To thrive as an Internship 3D Props Modeling, you generally need a solid understanding of 3D modeling principles, art fundamentals, and experience with design or art-related coursework. Familiarity with software such as Autodesk Maya, Blender, or 3ds Max, and knowledge of texturing tools like Substance Painter, are typically required. Creativity, attention to detail, and strong teamwork and communication skills help interns stand out in collaborative studio environments. These skills ensure the creation of high-quality, game-ready assets that meet project requirements and integrate smoothly with the art pipeline.

What is the difference between Internship 3D Props Modeling vs 3D Environment Artist?

AspectInternship 3D Props Modeling3D Environment Artist
CredentialsBasic 3D modeling skills, portfolio, often students or entry-levelAdvanced skills in environment design, portfolio, often with experience
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time or freelance, creative studios, game or film industry
Industry UsageEntry-level role for learning and skill developmentSpecialized role for creating immersive environments

Internship 3D Props Modeling is an entry-level position focused on creating individual props for projects, often as part of a learning experience. In contrast, a 3D Environment Artist designs entire scenes and environments, requiring more advanced skills and experience. Both roles are essential in the 3D industry but differ in complexity and scope.

What are the most commonly searched types of 3D Props Modeling jobs in California?

The most popular types of 3D Props Modeling jobs in California are:

What cities in California are hiring for Internship 3D Props Modeling jobs?

Cities in California with the most Internship 3D Props Modeling job openings:

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

Nvidia

Santa Clara, CA

Full-time

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 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

Year founded

1993