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Generative 3D Jobs (NOW HIRING)

Generative AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

Furthermore, this digital platform is fully programmable in the way 3D printing is digital--but ... About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ...

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

Furthermore, this digital platform is fully programmable in the way 3D printing is digital-but ... About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ...

Solid working knowledge of 2D and 3D design workflows and software, with an understanding of ... Design and prototype clean, modern generative AI workflows using node-based visual coding ...

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Generative 3d information

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$9

$28

$50

How much do generative 3d jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for generative 3d in the United States is $28.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $36.06 per hour, depending on experience, location, and employer.

What is a generative 3d artist?

A Generative 3D artist is a professional who uses algorithms, code, and artificial intelligence to create three-dimensional visual content. They leverage generative design techniques and tools to produce complex, innovative 3D models, animations, and environments that may be difficult to achieve manually. These artists often work in industries such as gaming, film, architecture, and virtual reality, where procedural content and automation can enhance creativity and efficiency. Their expertise combines traditional 3D modeling skills with programming and a strong understanding of computational design.

What are the key skills and qualifications needed to thrive as a generative 3d designer?

To thrive as a Generative 3D Designer, you need a solid background in 3D modeling, algorithmic or procedural design, and computer graphics, often supported by a degree in design, computer science, or a related field. Familiarity with tools like Blender, Houdini, Autodesk Maya, and programming languages such as Python or C++ is typically required. Creativity, problem-solving, and effective communication are crucial soft skills to excel when working with multidisciplinary teams and interpreting complex design briefs. Mastering these skills ensures the ability to create innovative 3D content efficiently, adapt to evolving technologies, and meet diverse project requirements.

What are some common challenges faced by professionals working in generative 3d roles, and how can they be addressed?

Professionals in Generative 3D often encounter challenges such as balancing creative freedom with technical constraints, managing computational resources for complex scenes, and ensuring compatibility across different software and platforms. Staying updated with rapidly evolving tools and algorithms can also be demanding. To address these challenges, it's helpful to engage in continuous learning, collaborate closely with both technical and artistic team members, and participate in industry forums to share solutions and best practices.

What is the difference between Generative 3D vs 3D Modeler?

AspectGenerative 3D3D Modeler
Primary FocusUsing algorithms and AI to automatically generate 3D contentManually creating detailed 3D models based on specifications
Required SkillsProgramming, AI, procedural modeling3D modeling software, artistic skills
Work EnvironmentTech companies, AI labs, digital content creationDesign studios, gaming, animation
CertificationsComputer science, AI, 3D software proficiency3D modeling software certifications, art degrees

Generative 3D specialists focus on creating 3D content through algorithms and AI, automating parts of the modeling process. In contrast, 3D Modelers manually craft detailed models using software tools. Both roles are essential in digital content creation but differ in approach, skills, and work environment.

More about Generative 3d jobs

What cities are hiring for Generative 3D jobs?

Cities with the most Generative 3D job openings:

What states have the most Generative 3D jobs?

States with the most job openings for Generative 3D jobs include:

What other helpful pages are available for Generative 3D?

Other pages related to Generative 3D:

Infographic showing various Generative 3D job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 89% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $60,297 per year, or $29 per hour.

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

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Internship

Posted 20 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 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.

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 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.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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