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Generative 3D Jobs in Washington, DC (NOW HIRING)

Quid, Inc.

Senior Backend Engineer

Columbia, MD · On-site

$100 - $120/hr

Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs ... Design and maintain microservice architectures that handle the flow of 3D scene data from mobile ...

Xometry

Staff Data Scientist

North Bethesda, MD · On-site

$163K - $190K/yr

Deep expertise in Geometric Deep Learning, Computer Vision (3D mesh/B-Rep processing), or Generative AI is highly preferred given the focus on native 3D geometry * Strategic Delivery: Proven ability ...

Leidos

Software Engineer

Reston, VA · On-site

$57K - $104K/yr

Integrate AI/ML capabilities , including Generative AI and LLM APIs * Collaborate across teams to ... Experience integrating COTS/GOTS tools , including 3D modeling, simulation, or visualization ...

Leidos

Software Engineer

Reston, VA · On-site

$57K - $104K/yr

Integrate AI/ML capabilities , including Generative AI and LLM APIs * Collaborate across teams to ... Experience integrating COTS/GOTS tools , including 3D modeling, simulation, or visualization ...

Leidos

Software Engineer

Reston, VA · On-site

$57K - $104K/yr

Integrate AI/ML capabilities , including Generative AI and LLM APIs * Collaborate across teams to ... Experience integrating COTS/GOTS tools , including 3D modeling, simulation, or visualization ...

Viavi Solutions

Digital Hardware Engineer

Germantown, MD · On-site

... 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and ... Utilization of generative AI tools to assist in concept and implementation of FPGA designs * Strong ...

Viavi Solutions

Digital Hardware Engineer

Germantown, MD · On-site

... 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and ... Utilization of generative AI tools to assist in concept and implementation of FPGA designs * Strong ...

Viavi

Digital Hardware Engineer

Germantown, MD · On-site

$112.70 - $209.30/hr

... 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and ... Utilization of generative AI tools to assist in concept and implementation of FPGA designs* Strong ...

Quid, Inc.

Product Manager, Spatial AI

Columbia, MD · On-site

$155 - $200/hr

Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs ... Deep fluency in 3DGS, NeRFs, photogrammetry, 3D reconstruction, or related spatial computing ...

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All JobsGenerative 3D JobsGenerative 3D Jobs in Washington, DC

Generative 3D information

See Washington, DC salary details

$10

$32

$57

How much do generative 3d jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for generative 3d in Washington, DC is $32.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $40.82 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.

What are popular job titles related to Generative 3D jobs in Washington, DC?

For Generative 3D jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Generative 3D jobs in Washington, DC look for?

The top searched job categories for Generative 3D jobs in Washington, DC are:

Generative 3D jobs near you
Infographic showing various Generative 3D job openings in Washington, DC as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $68,293 per year, or $32.8 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Northeastern University

Arlington, VA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Applications will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,569.00.

Apply