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Freelance Robotic Simulation Engineer Jobs in Texas

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

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 ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

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 ...

SkyGrid

Simulation Engineer III

Austin, TX · On-site +1

Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ years of experience in simulation development, systems integration, or similar technical domains.

SkyGrid

Simulation Engineer III

Austin, TX · On-site +1

Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ years of experience in simulation development, systems integration, or similar technical domains.

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Freelance Robotic Simulation Engineer information

What are some common challenges faced by freelance robotic simulation engineers when working with diverse client projects?

Freelance Robotic Simulation Engineers often encounter challenges such as adapting quickly to different simulation platforms, ensuring compatibility with various robot hardware, and meeting tight project deadlines. Each client may use unique software tools or have specific workflow requirements, so the ability to learn and integrate new systems efficiently is essential. Additionally, clear communication and regular updates are vital when collaborating remotely with multidisciplinary teams to align simulation outcomes with client expectations.

What does a freelance robotic simulation engineer do?

A Freelance Robotic Simulation Engineer designs, develops, and tests virtual models of robotic systems using specialized simulation software. Their work helps companies visualize, optimize, and troubleshoot robotic processes before physical implementation, saving time and resources. They typically collaborate remotely with clients in industries such as manufacturing, logistics, and automation to create accurate simulations, analyze performance, and provide technical recommendations. As freelancers, they manage multiple projects and are responsible for their own schedules and client communications.

What are the key skills and qualifications needed to thrive as a freelance robotic simulation engineer, and why are they important?

To thrive as a Freelance Robotic Simulation Engineer, you need strong proficiency in robotics principles, simulation modeling, and programming languages such as Python or C++, often backed by a degree in engineering or computer science. Expertise with simulation platforms like ROS (Robot Operating System), Gazebo, or MATLAB/Simulink, and relevant certifications, are typically required. Excellent problem-solving, project management, and communication skills help you deliver effective solutions and collaborate with diverse clients. These skills ensure accurate simulations, successful project outcomes, and sustained client satisfaction in a competitive, technology-driven field.
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Freelance Robotic Simulation Engineer jobs near you

Robotics Simulation Engineer II

ICON

Austin, TX • On-site

Other

Re-posted 9 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.

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