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Intern Robotic Simulation Engineer Jobs (NOW HIRING)

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... You will be responsible for developing physics-accurate models of ICON's robotic platforms ...

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... You will be responsible for developing physics-accurate models of ICON's robotic platforms ...

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... You will be responsible for developing physics-accurate models of ICON's robotic platforms ...

JOB SUMMARY Few teams get to shape how a humanoid robot learns to perceive, plan, and act - and even fewer let an early-career engineer touch every layer of that stack. As a Simulation Engineer on ...

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 ...

Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting ... As a Simulation Engineer on the Sim team, you'll contribute across dexterity, design simulation ...

About the Role We are seeking a Lead Simulation Engineer to architect and build an end-to-end ... Published research in robotics simulation, dynamics, or related areas. * Hands-on experience ...

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How much do intern robotic simulation engineer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for intern robotic simulation engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Intern Robotic Simulation Engineer vs Intern Robotics Software Developer?

AspectIntern Robotic Simulation EngineerIntern Robotics Software Developer
Required CredentialsRelevant coursework in robotics, programming, or engineering; basic knowledge of simulation toolsComputer science or software engineering background; programming skills in C++, Python
Work EnvironmentRobotics labs, simulation platforms, research projectsSoftware development teams, coding environments, testing platforms
Industry UsageRobotics companies, research institutions, automation firmsTech companies, startups, research labs

Both roles involve programming and technical skills, but the Intern Robotic Simulation Engineer focuses on creating and testing robotic simulations, while the Intern Robotics Software Developer emphasizes developing software applications for robotics. The choice depends on whether you prefer working with simulation tools or software coding in robotics projects.

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Infographic showing various Intern Robotic Simulation Engineer job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Robotics Simulation Engineer II

Robotics Simulation Engineer II

ICON

Austin, TX • On-site

Other

Posted 7 days ago


Job description

ICON is looking for a Robotics Simulation Engineer to join our Software team. 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 be responsible for developing physics-accurate models of ICON's robotic platforms, bridging simulation and hardware to support a "test-as-you-fly" development paradigm, and contributing to shared kinematics and dynamics toolkits used across all ICON programs. This is a full-time, onsite role is based at ICON's Austin, TX headquarters and will report to the Director of Robotics.

RESPONSIBILITIES

  • Build and maintain high-fidelity simulation environments for ICON's robotic systems.
  • Develop and tune physics-accurate models of ICON's robotic platforms - including kinematics, dynamics, actuator behavior, and material interaction - validated against physical hardware test data.
  • Own the sim-to-real gap: systematically measure and reduce discrepancies between simulation predictions and physical system behavior.
  • Contribute to and maintain shared kinematics and dynamics libraries that are reused across ICON's robotic programs.
  • Integrate simulation environments into CI/CD pipelines to enable automated regression testing of motion planning, control, and safety-critical software components.
  • Collaborate with controls, perception, and mechatronics engineers to ensure simulated sensor models and environmental conditions are sufficient for algorithm validation.
  • Participate in architecture decisions for the simulation layer and its interfaces to the broader software stack.
  • Participate in design and code reviews to maintain consistency and high-quality output.

MINIMUM QUALIFICATIONS

  • Master's degree or higher in Robotics, Mechanical Engineering, Aerospace Engineering, or a related field.
  • 3+ years of professional experience in robotic simulation, dynamics modeling, or related robotics software development.
  • Hands-on experience with NVIDIA Isaac Sim, Isaac Lab, or a comparable physics simulation platform (e.g., Gazebo, MuJoCo, Webots).
  • Strong foundational understanding of rigid body dynamics, robotic arm kinematics (forward and inverse), and multi-body simulation.
  • Proficiency in modern C++ (17 or newer) and Python within a professional robotics development environment.
  • Experience integrating simulation environments into automated test and CI/CD workflows.
  • Familiarity with robotics frameworks such as ROS 2 and their interaction with simulation backends.

PREFERRED SKILLS AND EXPERIENCE

  • Experience developing and tuning robot models and environments in physics-based simulators.
  • Familiarity with physics-informed modeling, including actuator dynamics, joint compliance, and contact/friction modeling.
  • Experience with sim-to-real transfer techniques and systematic approaches to quantifying and reducing the sim-to-real gap.
  • Strong analytical and problem-solving mindset; comfortable making data-driven decisions about model fidelity tradeoffs.
  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of performance.