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Generative 3D Jobs in Seattle, WA (NOW HIRING)

Adobe

Sr Applied Scientist, Generative AI/ML

Seattle, WA · On-site

$142K - $270K/yr

The related applications include image/video/3D generation, editing, and understanding, conditioned ... Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research ...

Adobe

Staff AI VFX Engineer

Seattle, WA

Custom-trained generative AI for VFX productiondoesn'thave a playbook yet.You'rewriting it. * Adobe's creative tool ecosystem (Photoshop, Premiere, After Effects, Substance 3D, Frame.io) gives ...

Electronic Arts (EA)

Applied AI Researcher

Kirkland, WA · On-site

... generative AI systems for image, video, audio, 3D, or other creative content domains. Company : Electronic Arts creates next-level entertainment experiences that inspire players and fans around the ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

... shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

... shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive ...

Adobe

Applied Scientist, Firefly Foundry

Seattle, WA

The Opportunity Firefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI - deep-tuned image, video, and 3D models built on each customer's IP, paired with ...

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All JobsGenerative 3D JobsGenerative 3D Jobs in Seattle, WA

Generative 3D information

See Seattle, WA salary details

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$32

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How much do generative 3d jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for generative 3d in Seattle, WA is $32.99, according to ZipRecruiter salary data. Most workers in this role earn between $22.69 and $41.06 per hour, depending on experience, location, and employer.

Is AI taking over 3D modeling jobs?

Generative 3D artists use AI tools to assist in creating complex models more efficiently, but AI currently complements rather than replaces human expertise. Many roles require skills in traditional modeling, artistic judgment, and understanding of software like Blender or Maya. AI can automate repetitive tasks, allowing artists to focus on creative aspects, but human oversight remains essential in the industry.

What jobs in the US pay 300,000 a year?

Generative 3D specialists working in senior roles such as lead researchers, AI engineers, or technical directors in industries like gaming, film, or virtual reality can earn salaries around or above $300,000 annually. These positions typically require advanced skills in 3D modeling, machine learning, and experience with tools like Unreal Engine or Blender, often combined with a strong portfolio and relevant certifications.

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 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

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.

Which 3 jobs will survive AI?

Generative 3D artists and designers are likely to continue thriving as AI tools assist rather than replace creative roles, especially when specialized skills like 3D modeling, animation, and understanding of complex software are involved. Jobs requiring high levels of creativity, critical thinking, and hands-on expertise—such as visual effects specialists, technical directors, and immersive environment developers—are expected to persist. Continuous learning and proficiency with AI-assisted tools will be key to maintaining relevance in this evolving field.

What are the key skills and qualifications needed to thrive as a Generative 3D Designer, and why are they important?

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 popular job titles related to Generative 3D jobs in Seattle, WA? For Generative 3D jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Generative 3D jobs in Seattle, WA look for? The top searched job categories for Generative 3D jobs in Seattle, WA are:
Generative 3D jobs near you
Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Member of Technical Staff, Microsoft Robotics (Robotics Simulation)

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 23 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

68th of 209 rated software companies

Job description

Overview
Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.
At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
We are building Microsoft's platform for physical intelligence-an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.
We are hiring a Member of Technical Staff, Microsoft Robotics (Robotics Simulation) at the Senior level, to lead the development of physics-ready 3D asset generation pipelines and integration of reality capture technologies into Microsoft's robotics simulation infrastructure. This role focuses on bridging the physical and simulated worlds by creating high-fidelity digital representations of real-world environments, objects, and robots. The engineer will build workflows that transform raw sensor data (photogrammetry, LiDAR scans, depth maps) into simulation-ready 3D assets with accurate geometry, material properties, and physics parameters, enabling photorealistic synthetic data generation, digital twin construction, and sim-to-real model validation.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MicrosoftRobotics #MDQ
Responsibilities
  • Design and build automated pipelines for converting reality capture data (photogrammetry, LiDAR point clouds, depth camera scans, 360-degree imagery) into physics-ready 3D simulation assets with accurate geometry, collision meshes, material properties, and articulation definitions.
  • Develop and maintain toolchains for physics-ready 3D asset generation, including mesh optimization, UV unwrapping, PBR material assignment, collision hull generation, mass/inertia parameter estimation, and annotation of semantic and functional properties.
  • Integrate reality capture hardware and software workflows (e.g., NeRF, Gaussian splatting, structured light scanning, photogrammetry reconstruction) with the simulation platform's asset ingestion pipeline.
  • Build 3D reconstruction workflows that enable rapid creation of simulation environments from real-world facility scans, supporting robotics deployment planning, testing, and validation.
  • Create and maintain asset toolchains supporting industry-standard formats (USD/OpenUSD, glTF, FBX, OBJ) with appropriate physics and simulation metadata for import into robotics simulation engines.
  • Develop synthetic data generation pipelines that leverage high-fidelity 3D assets to produce training data for perception, manipulation, and navigation models, including domain-randomized variations of materials, lighting, object placement, and camera viewpoints.
  • Collaborate with robotics engineers, ML researchers, and perception scientists to define asset fidelity requirements, validate simulation-to-reality visual and physical accuracy, and iterate on asset quality based on downstream model performance.
  • Implement quality assurance and validation workflows for 3D assets, including automated checks for mesh integrity, physics parameter consistency, rendering fidelity, and simulation stability.
  • Review code and technical designs to ensure adherence to team standards for 3D pipeline performance, asset management, and data integrity.
  • Remain current in 3D reconstruction, neural rendering, and asset generation research, proactively evaluating new techniques (e.g., generative 3D models, neural radiance fields, 3D Gaussian splatting) for integration into the platform.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Other Requirements:
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience with 3D reconstruction pipelines, photogrammetry, LiDAR processing, or neural scene representation methods (NeRF, 3D Gaussian splatting).
  • Proficiency with 3D content creation and processing tools (Blender, Fusion, Maya, Houdini, MeshLab, Open3D, or equivalent).
  • Experience with USD/OpenUSD, OBJ, STL, or equivalent 3D interchange formats and their integration with simulation or rendering engines.
  • Background in physically based rendering (PBR), material authoring, or real-time graphics pipeline development.
  • Experience building synthetic data generation pipelines for training computer vision or perception models.
  • Familiarity with robotics simulation platforms (Isaac Sim, Gazebo, MuJoCo, or equivalent) and their asset requirements.
  • Understanding of physics parameter estimation, collision geometry optimization, and articulated object modeling for simulation fidelity.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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