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3D Environment Modeling Jobs in California (NOW HIRING)

The Bot Company

3D Vision

San Francisco, CA · On-site

$200K - $350K/yr

Design and build end-to-end 3D perception systems for real-world robotic environments. * Develop geometric vision pipelines-SLAM, reconstruction, tracking-and integrate them with learned models.

The Bot Company

3D Vision

San Francisco, CA · On-site

Design and build end-to-end 3D perception systems for real-world robotic environments. * Develop geometric vision pipelines-SLAM, reconstruction, tracking-and integrate them with learned models.

Zoox

Senior Manager, Perception

Foster City, CA

$277K - $389K/yr

Our perception stack is responsible for building Zoox's world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

... models into production environments and continuously improve inference pipelines. • Analyze ... for 3D point clouds, perception, or spatial understanding tasks. • Strong background in 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Collaborate with software and systems engineers to integrate models into production environments ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

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All Jobs3D Environment Modeling Jobs3D Environment Modeling Jobs in California

3D Environment Modeling information

See California salary details

$39K

$77.4K

$122.9K

How much do 3d environment modeling jobs pay per year?

As of Aug 10, 2026, the average yearly pay for 3d environment modeling in California is $77,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $96,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in 3d environment modeling?

To succeed in 3D Environment Modeling, proficiency in 3D modeling concepts, strong artistic fundamentals, and a relevant degree in art, design, or a related field are essential. Expertise with industry-standard software such as Autodesk Maya, Blender, 3ds Max, and experience using game engines like Unreal Engine or Unity is highly valued, along with any portfolio or certification evidence. Creativity, problem-solving, teamwork, and strong attention to detail help set candidates apart in this visually demanding field. These skills are critical to creating immersive, visually consistent environments that meet both artistic and technical requirements for games, film, or virtual production pipelines.

What is 3d environment modeling?

A 3D Environment Modeling job involves creating digital environments for video games, films, simulations, and other media. Artists in this role design and build landscapes, structures, and objects that form the world of a project, ensuring they are visually appealing and optimized for performance. They use software like Blender, Maya, or 3ds Max and often collaborate with concept artists, level designers, and texture artists. Strong knowledge of modeling techniques, texturing, lighting, and rendering is essential.

What are the typical daily responsibilities for someone working in 3d environment modeling?

A 3D Environment Modeler typically spends their day creating models of landscapes, buildings, props, and other environmental elements for visual media such as games or film. Their work involves interpreting concept art, collaborating closely with art directors, level designers, and technical artists, and ensuring assets meet technical and aesthetic standards. Modelers often adjust their designs based on feedback from team members, optimize their models for performance, and integrate their work into game engines or production pipelines. Daily tasks can also include UV mapping, texturing, and occasional troubleshooting to address technical constraints. This role requires a balance of creative vision, technical precision, and open communication within a collaborative team setting.

What are the most commonly searched types of 3D Environment Modeling jobs in California? The most popular types of 3D Environment Modeling jobs in California are:
What are popular job titles related to 3D Environment Modeling jobs in California? For 3D Environment Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching 3D Environment Modeling jobs in California look for? The top searched job categories for 3D Environment Modeling jobs in California are:
3D Environment Modeling jobs near you
Infographic showing various 3D Environment Modeling job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $77,445 per year, or $37.2 per hour.

Member of Technical Staff - Robotics & Simulation

Moonlake AI

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Introducing Moonlake, AI for creating world simulations.
About Moonlake
Moonlake is building the frontier of AI-powered world simulation.
We create systems that generate, simulate, and reason over rich 3D environments for robotics, embodied AI, and interactive applications. Our platform enables the creation of digital worlds, synthetic environments, and scalable simulation infrastructure used to train the next generation of intelligent systems.
Our work sits at the intersection of:
  • Robotics
  • Physical AI
  • World Models
  • Simulation Infrastructure
  • Synthetic Data Generation
  • Embodied Intelligence

Moonlake has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean.
Our mission is to build the foundational infrastructure that enables robots to learn, reason, and operate effectively in the physical world.
The Role
We are looking for a Member of Technical Staff - Robotics to help build the bridge between simulation, world models, and real-world robotic systems.
This role spans the full robotics stack-from evaluating foundation models and policies in simulation, to training world models, to deploying and operating physical robots. You will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms.
This is a highly hands-on role combining robotics engineering, machine learning, simulation, and hardware deployment.
What You'll Do
Evaluate Robot Foundation Models & Policies
  • Benchmark and evaluate robot foundation models in simulated environments
  • Design evaluation frameworks for robotic reasoning, planning, manipulation, and navigation
  • Measure generalization, robustness, and task performance across diverse scenarios
  • Build infrastructure for large-scale simulation-based testing and validation
Train World Models for Robotics
  • Develop and train world models that enable robots to understand and predict environment dynamics
  • Build systems that learn from multimodal robot data including vision, depth, state, and actions
  • Improve environment understanding, forecasting, and decision-making capabilities
  • Work closely with simulation and AI teams to advance robotic world modeling systems
Build Real-World Robot Learning Pipelines
  • Collect and curate real-world robotics datasets
  • Train and fine-tune models using both simulated and physical robot data
  • Improve sim-to-real transfer for robotic policies and world models
  • Develop workflows connecting simulation, training infrastructure, and deployed robotic systems
Deploy and Operate Physical Robots
  • Set up, integrate, and maintain robotic hardware platforms
  • Bring learned policies and world models onto real robotic systems
  • Debug hardware, software, sensing, and control issues
  • Develop deployment pipelines for testing, validation, and continuous improvement
  • Work directly with robotic manipulators, mobile robots, sensors, and compute systems
Areas of Focus
Robot Foundation Models
  • Policy evaluation
  • Model benchmarking
  • Simulation-based testing
  • Generalization analysis
  • Performance measurement
World Models
  • Environment modeling
  • Predictive systems
  • Representation learning
  • Multimodal learning
  • Model-based reasoning
Simulation
  • Robotics simulators
  • Digital twins
  • Synthetic environments
  • Sim-to-real transfer
  • Evaluation infrastructure
Robotics Systems
  • Robot setup and integration
  • Sensors and perception systems
  • Robot control
  • Hardware debugging
  • Deployment workflows
What We're Looking For
  • Strong background in robotics, embodied AI, machine learning, or related fields
  • Experience working with physical robotic systems
  • Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar
  • Familiarity with robot learning, foundation models, or world models
  • Strong software engineering skills in Python and robotics tooling
  • Experience deploying software onto real robotic hardware
  • Ability to debug across hardware, software, and machine learning systems
  • Comfort working in a fast-moving research and engineering environment
Why This Role Matters
Moonlake's vision extends beyond simulation. We believe the future of robotics will be powered by world models that can learn in simulation and transfer seamlessly to the physical world.
This role sits at the center of that mission. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.
Your work will directly shape how future robotic systems learn, reason, and act.
We are committed to being an on-site, in-person team currently based in San Francisco.

Apply