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3D Simulation Jobs (NOW HIRING)

NVIDIA

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

Responsibilities : • Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications. • Collaborate with multi-functional teams to build ...

NVIDIA

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

Responsibilities : • Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications. • Collaborate with multi-functional teams to build ...

Weekday AI

Software Engineer - Open 3D Engine

Software Engineer - Open 3D Engine (O3DE) Job Type: Contractor Location: Remote Job Summary: In ... and simulations optimized for AI training. • Utilize the Atom Renderer, Component Entity System ...

Nvidia

Senior Software Engineer - Simulation

Santa Clara, CA

$143.90K - $189.70K/yr

Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications. * Collaborate with multi-functional teams to build backend services and AI ...

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3D Simulation information

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$39K

$123.4K

$190.5K

How much do 3d simulation jobs pay per year?

As of May 29, 2026, the average yearly pay for 3d simulation in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a 3D Simulation job?

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 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 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.
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What cities are hiring for 3D Simulation jobs? Cities with the most 3D Simulation job openings:
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3D Simulation jobs near you
Infographic showing various 3D Simulation job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.

Machine Learning Engineer - 3D Sensor Simulation

Zoox

Seattle, WA

Full-time

Posted 29 days ago

Job description

The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team’s work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation.
In this role, you will:
  • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
  • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity. 
  • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
  • Improve rendering and ML inference tooling for generating realistic data at scale.
Qualifications
  • 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
  • 2+ years of experience developing software with Python and/or modern C++
  • Expertise with machine learning frameworks PyTorch or Tensorflow
  • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
  • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques
Bonus Qualifications
  • Master's or PhD in computer science, mathematics, physics, or related field
  • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
  • Experience in 3D rendering for simulation, games, cloud computing, or VFX 
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.