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Systems Simulation Engineer 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 ... Build and maintain high-fidelity simulation environments for ICON's robotic systems. * Develop and ...

Lockheed Martin Corporation

... Simulation (M&S) of complex technical solutions to join our team ... What You Will Be Doing This person will join a highly skilled team of systems engineering ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... Build and maintain high-fidelity simulation environments for ICON's robotic systems. * Develop and ...

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Systems Simulation Engineer information

See Texas salary details

$49.8K

$118.5K

$155.6K

How much do systems simulation engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for systems simulation engineer in Texas is $118,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $146,300.00 per year, depending on experience, location, and employer.

What is the difference between Systems Simulation Engineer vs Systems Analyst?

AspectSystems Simulation EngineerSystems Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science; knowledge of simulation toolsBachelor's in IT, Computer Science, or related; strong analytical skills
Work EnvironmentEngineering labs, simulation software environmentsOffice settings, client meetings, system analysis
Industry UsageAerospace, Defense, Automotive, ManufacturingIT, Business, Government agencies
Common Search/ComparisonYesYes

The Systems Simulation Engineer focuses on creating and analyzing models to predict system behavior, often in engineering contexts. In contrast, the Systems Analyst evaluates existing systems to improve efficiency and functionality. While both roles require analytical skills and technical knowledge, the Simulation Engineer emphasizes modeling and simulation, whereas the Analyst concentrates on system evaluation and requirements gathering.

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

To thrive as a Systems Simulation Engineer, you need a solid background in engineering, mathematics, and computer science, typically supported by a relevant degree. Experience with simulation tools like MATLAB/Simulink, ANSYS, or Modelica, as well as programming languages such as Python or C++, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These competencies ensure accurate modeling, efficient troubleshooting, and successful system optimization in complex engineering projects.

What are Systems Simulation Engineers?

Systems Simulation Engineers are professionals who use computer models and simulations to analyze, design, and optimize complex systems across industries like aerospace, automotive, and manufacturing. They develop virtual representations of systems to predict performance, identify issues, and test potential improvements without the need for costly physical prototypes. Their work helps organizations make informed decisions, improve efficiency, and reduce risks. These engineers collaborate with multidisciplinary teams and use specialized software to create accurate simulations of mechanical, electrical, or integrated systems.

What are some common challenges faced by Systems Simulation Engineers when integrating simulation models with real-world data?

Systems Simulation Engineers often encounter challenges when aligning simulation models with real-world data, such as ensuring model accuracy, managing data inconsistencies, and accounting for unforeseen system behaviors. Integrating diverse datasets from hardware, sensors, or software can require significant validation and calibration efforts. Collaborating closely with cross-functional teams, such as data analysts and hardware engineers, is crucial to resolve discrepancies and maintain the reliability of simulations. Staying adaptable and proactively communicating with stakeholders helps address these integration challenges effectively.
What are popular job titles related to Systems Simulation Engineer jobs in Texas? For Systems Simulation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Systems Simulation Engineer jobs in Texas look for? The top searched job categories for Systems Simulation Engineer jobs in Texas are:
Systems Simulation Engineer jobs near you
Robotics Simulation Engineer II

Robotics Simulation Engineer II

ICON

Austin, TX

Other

Posted 10 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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