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Robotics Simulation Jobs in Texas (NOW HIRING)

ICON

Robotics Simulation Engineer II

Austin, TX

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 ...

Advanced Robotics Group, LLC

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Autonomous Robotics Software Engineer

Houston, TX · On-site

... simulation and real-world testing to validate system robustness and reliability · Build production-grade autonomy software from prototype to deployment · Collaborate with cross-functional ...

TSMG

Robot Teleoperator (AI & Robotics)

Austin, TX

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

Austin, TX

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

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All JobsRobotics Simulation JobsRobotics Simulation Jobs in Texas

Robotics Simulation information

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.
What are popular job titles related to Robotics Simulation jobs in Texas? For Robotics Simulation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Robotics Simulation jobs in Texas look for? The top searched job categories for Robotics Simulation jobs in Texas are:
What cities in Texas are hiring for Robotics Simulation jobs? Cities in Texas with the most Robotics Simulation job openings:
Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Robotics Simulation Engineer II

Robotics Simulation Engineer II

ICON

Austin, TX

Other

Posted 12 hours 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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