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3D Simulation Jobs in California (NOW HIRING)

Visual Simulations Technician

Irvine, CA · On-site

$95K - $121K/yr

Shape the future of visual impact assessment with cutting-edge 3D visualization technology. ERM is seeking a Visual Simulations Technician to join our growing Visual Services team. This role supports ...

Shape the future of visual impact assessment with cutting-edge 3D visualization technology. ERM is seeking a Visual Simulations Technician to join our growing Visual Services team. This role supports ...

Shape the future of visual impact assessment with cutting-edge 3D visualization technology. ERM is seeking a Visual Simulations Technician to join our growing Visual Services team. This role supports ...

Shape the future of visual impact assessment with cutting-edge 3D visualization technology. ERM is seeking a Visual Simulations Technician to join our growing Visual Services team. This role supports ...

Research Engineer

San Francisco, CA · On-site

$200K - $350K/yr

Our work spans everything required to perceive, reason about, and create in 3D, with applications across simulation, design, and play. Our first focus is gaming: 3D environment generation and ...

Research Engineer

San Francisco, CA · On-site

$200 - $350/hr

Our work spans everything required to perceive, reason about, and create in 3D, with applications across simulation, design, and play. Our first focus is gaming: 3D environment generation and ...

Mobile Engineer

San Francisco, CA · On-site

$120 - $150/hr

About Schemata At Schemata, we are transforming the$400B virtual‑training and simulation market by fusing 3D computer vision, neural rendering and large multimodal models inside highly regulated ...

Showing results 41-60

3D Simulation information

See California salary details

$38.5K

$121.8K

$188K

How much do 3d simulation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for 3d simulation in California is $121,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a 3d simulation?

A 3D Simulation job involves creating digital models that replicate real-world objects, environments, or processes to analyze and predict behaviors in a virtual space. Professionals in this field use specialized software to simulate physics, motion, and interactions for industries such as engineering, gaming, healthcare, and manufacturing. Responsibilities may include developing simulation models, optimizing designs, and validating system performance. These simulations help reduce development costs, enhance product design, and improve decision-making before real-world implementation.

What are the typical daily responsibilities of a professional working in 3d simulation?

As a 3D Simulation professional, your day-to-day tasks often involve developing and refining 3D models, programming simulation behaviors, conducting tests, and troubleshooting issues to ensure accuracy and performance. You may collaborate closely with engineers, designers, or project managers to translate real-world scenarios into digital environments and iterate on prototype simulations based on feedback. Documentation, version control, and staying updated with the latest software advancements are also common aspects of the role. This dynamic workflow allows you to contribute to a wide range of projects, from training applications in aerospace to product design and virtual reality experiences.

What are the key skills and qualifications needed to thrive in the 3d simulation position, and why are they important?

To thrive in a 3D Simulation role, you need strong knowledge of 3D modeling, simulation software, mathematics, and physics, often supported by a degree in computer science, engineering, or a related field. Familiarity with industry-standard tools such as Autodesk Maya, Blender, Unity, Unreal Engine, or MATLAB, as well as experience with programming languages like Python or C++, is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills distinguish top performers. These competencies ensure you can accurately create, test, and refine realistic simulations that meet project specifications and facilitate collaboration across multidisciplinary teams.

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

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

What are popular job titles related to 3D Simulation jobs in California?

For 3D Simulation jobs in California, the most frequently searched job titles are:

What job categories do people searching 3D Simulation jobs in California look for?

The top searched job categories for 3D Simulation jobs in California are:

Infographic showing various 3D Simulation job openings in California as of August 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,783 per year, or $58.5 per hour.

Senior Simulation Engineer - W2 Role

Saransh Inc

Mountain View, CA • On-site

Contractor

Re-posted 15 days ago


Job description

Role: Senior Simulation Engineer
Location: Mountain View, CA (Hybrid Onsite)
Job Type: W2 Contract
 
Job Description: 
  • We are seeking a highly skilled Senior Simulation Engineer to own and accelerate our synthetic data generation capabilities.
  • This role is crucial for bridging the gap between our high-fidelity simulation environment and our production ML models.
  • You will be responsible for architecting, implementing, and maintaining the entire simulation-to-data pipeline, ensuring a consistent and massive flow of quality training data.
Key Responsibilities:
  • Simulation Acceleration & Data Collection: Directly utilize expertise in NVIDIA Isaac Sim to design, script, and optimize simulation scenarios specifically tailored to generate high-quality, diverse data for VLA (Vision-Language Alignment) and NOVA model training objectives.
  • Pipeline Architecture: Design, build, and maintain robust, scalable pipelines for CAD ingestion, scene creation, sensor emulation, and data processing within the Isaac Sim framework.
  • Synthetic Data Management: Implement and manage advanced auto-annotation tools within the simulation environment to rapidly label complex sensory data (e.g., 3D bounding boxes, semantic segmentation, depth maps) for supervised learning.
  • Environment Maintenance: Take ownership of setting up, configuring, and maintaining the simulation environment (including hardware/software dependencies, GPU utilization, and headless operation) to ensure reliable, large-scale parallel execution.
  • Cross-Functional Support: Collaborate closely with the Machine Learning Engineering team to analyze data gaps, iterate on simulation parameters, and ensure the synthetic data distribution matches the necessary complexity and variability of real-world deployment.
  • Performance Tuning: Profile and optimize simulation execution speed to maximize data throughput, essential for rapid iteration cycles in model tuning.
Required Qualifications:
  • Expertise in Simulation: 3+ years of hands-on experience with NVIDIA Isaac Sim (or a comparable high-fidelity physics simulator like Unity/Unreal used for robotics).
  • Programming Proficiency: Expert-level proficiency in Python for scripting, automation, data pipeline construction, and tool development.
  • Robotics Fundamentals: Strong understanding of robotics kinematics, sensor physics (LIDAR, RGB-D cameras, IMU), and their accurate representation in simulation.
  • ML Data Pipeline Experience: Proven experience setting up automated data collection pipelines for Deep Learning projects, including experience with data versioning and metadata management.
  • CAD/3D Workflow: Familiarity with 3D assets, CAD formats, and procedural generation techniques to create complex virtual scenes.
Preferred Qualifications:
  • Familiarity with VLA/NOVA model architectures or similar foundation models in robotics.
  • Experience with cloud computing environments (AWS, Azure, GCP) for scaling simulation jobs.
  • Familiarity with other robotics simulation/middleware like ROS/ROS 2.
  • Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SITL) testing methodologies.