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Manager Robotic Simulation Engineer Jobs in Texas

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 ...

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 ...

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be ... Knowledge of architecting and managing end to end solutions and perform root cause analysis

... humanoid robot. You are not just managing a team; you are shifting the engineering culture from "build and test" to "simulate, predict, and validate." You will hire, mentor, and lead a multi ...

... humanoid robot. You are not just managing a team; you are shifting the engineering culture from "build and test" to "simulate, predict, and validate." You will hire, mentor, and lead a multi ...

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

Collaborate with engineering, sales, project management, and other partners to define requirements ... Interpret simulation outputs and clearly communicate results to internal teams and customers.

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

Collaborate with engineering, sales, project management, and other partners to define requirements ... Interpret simulation outputs and clearly communicate results to internal teams and customers.

Experience/ familiarity in building and engineering digital twins solutions with simulation ... Knowledge of architecting and managing end to end solutions and perform root cause analysis

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Manager Robotic Simulation Engineer information

What is the difference between Manager Robotic Simulation Engineer vs Robotic Simulation Engineer?

AspectManager Robotic Simulation EngineerRobotic Simulation Engineer
ResponsibilitiesOversees simulation projects, manages teams, strategic planningDevelops and tests robotic simulation models, executes simulations
Required SkillsLeadership, project management, advanced simulation knowledgeTechnical simulation skills, programming, robotics knowledge
CertificationsRelevant certifications in robotics, project managementRobotics, simulation software certifications
Work EnvironmentTeam management, coordination with multiple departmentsHands-on simulation development, testing

The Manager Robotic Simulation Engineer focuses on leading teams and managing simulation projects, while the Robotic Simulation Engineer primarily develops and executes simulation models. Both roles require technical expertise, but the manager role emphasizes leadership and strategic planning.

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Robotics Simulation Engineer II

Robotics Simulation Engineer II

ICON

Austin, TX

Other

Posted 14 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.