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Robotics Simulation Jobs (NOW HIRING)

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware. As a simulation engineer at Persona, you will ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation environments that accelerate the development, validation, and certification of ICON's robotic systems. You will ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation environments that accelerate the development, validation, and certification of ICON's robotic systems. You will ...

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Robotics Simulation information

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$11K

$67.6K

$121.5K

How much do robotics simulation jobs pay per year?

As of Jul 9, 2026, the average yearly pay for robotics simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What are the key skills and qualifications needed to thrive as a Robotics Simulation Engineer, and why are they important?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
More about Robotics Simulation jobs
What cities are hiring for Robotics Simulation jobs? Cities with the most Robotics Simulation job openings:
What states have the most Robotics Simulation jobs? States with the most job openings for Robotics Simulation jobs include:
What job categories do people searching Robotics Simulation jobs look for? The top searched job categories for Robotics Simulation jobs are:
Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Robotics Simulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 2 days ago

Job description

We're looking for a Simulation Engineer to own and expand our NVIDIA Isaac Sim and Omniverse simulation infrastructure. You'll build the digital twin environments, sim assets, and CI/CD pipelines that our autonomy team relies on daily. You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware.
As a simulation engineer at Persona, you will have an incredible opportunity to shape the simulation infrastructure that underpins our entire autonomy stack. You will report to the Behavior Coordination Lead and work closely with machine learning, locomotion, manipulation, perception, and devops teams.
Your Role:
  • Build, maintain, and extend simulation environments in NVIDIA Isaac Sim and Omniverse for humanoid robot development.
  • Develop and manage OpenUSD sim assets: robot models, tools, workpieces, customer facility environments (shipyards, steel fabrication plants, industrial sites).
  • Create and maintain physics-accurate digital twins of customer facilities (shipyards and industrial manufacturing) for behavior validation and deployment planning.
  • Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding) to run against Isaac Sim.
  • Design and implement behavior-level CI/CD pipelines that automatically validate robot behaviors in simulation.
  • Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before hardware integration.
  • Develop synthetic data generation pipelines for training perception, manipulation, and navigation models.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 3+ years of professional experience in robotics simulation, digital twin development, or physics-based simulation environments.
  • Strong hands-on experience with NVIDIA Isaac Sim and/or NVIDIA Omniverse.
  • Working knowledge of OpenUSD (Universal Scene Description): authoring, composition, referencing, flattening, and debugging USD stage hierarchies.
  • Proficiency in Python; comfortable writing simulation tooling, test harnesses, and automation scripts.
  • Experience with at least one physics engine: PhysX, MuJoCo, Bullet, or Drake.
  • Solid understanding of robot kinematics, dynamics, and articulated body simulation.
  • Experience developing or maintaining CI/CD pipelines for simulation or robotics software.
  • Familiarity with containerization (Docker) and DevOps practices for simulation infrastructure.
  • Ability to create and manage 3D simulation assets (meshes, materials, collision geometry, articulation definitions).

Preferred or Bonus Qualifications:
  • Experience with NVIDIA Isaac Lab for reinforcement learning environment setup and training.
  • Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability.
  • Experience with ROS/ROS 2 and Gazebo simulation.
  • Experience with Unreal Engine or other real-time rendering engines for robotics visualization.
  • Background in manipulation simulation: contact modeling, grasp planning, dexterous multi-fingered hand interaction, and force/torque estimation.
  • Experience with motion capture data pipelines and motion retargeting to robot models.
  • Exposure to behavior trees, task planning, or autonomy stack architecture.
  • Knowledge of Omniverse extensions development and Kit SDK.

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