Lead Software Engineer (Simulation/Digital Twin)

Caterpillar Inc.•Irving, TX

8d•$128,470 - $208,770•Onsite

About The Position

The Simulation & Digital Twin Engineer will design, develop, and integrate simulation capabilities that support Caterpillar’s next-generation robotics. This senior, hands-on role combines simulation engineering, real-time visualization, and 3D scene-building using NVIDIA Omniverse and modern C++/Python toolchains. The role plans and architects solutions and provides technical leadership and mentorship.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Mechanical Engineering, Robotics, or a related field.
Experience developing digital twins and simulations to support robotics, including machine, vehicle, and/or sensor simulation.
Experience with NVIDIA Omniverse, Isaac Sim, Cosmo, NVIDIA WARP, Newton, and Omniverse-based pipeline development.
Strong hands-on C++ and Python programming skills for simulation logic, behavior modeling, and tooling.
Experience with cloud-based simulation workflows, large-scale data integration, or distributed simulation pipelines.

Nice To Haves

Ideally, five or more years of experience developing digital twins and robotics-supporting simulations.
Knowledge of other digital-twin and real-time simulation tools, such as CARLA, Unity, Unreal Engine, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, or Ansys Twin Builder.

Responsibilities

Develop simulations of construction machines, jobsites, and sensors such as cameras, LIDAR, and RADAR in NVIDIA Omniverse.
Integrate simulation components with Caterpillar’s existing simulation models, data systems, and digital twin frameworks.
Create high-fidelity 3D models, scenes, and environments using NVIDIA Omniverse, USD, and Omniverse Kit-based pipelines.
Collaborate with simulation and robotics teams to define and implement an Omniverse-based simulation platform that works with existing simulation tools.
Contribute to toolchain and pipeline design, including scripting utilities, automated test frameworks, and modular code libraries.
Develop interfaces connecting simulations to real-time visualization, dashboards, and operator-focused experiences.
Optimize performance for large-scale scenes, complex mechanical models, and multi-machine workflows.
Develop and execute model validation and verification plans to ensure digital twins are accurate and numerically stable.
Reduce the real-to-simulation gap by comparing simulation outputs with real machine test data, telematics, and historical performance metrics.
Evaluate emerging tools and frameworks to expand Caterpillar’s simulation and digital twin capabilities.