Autonomous Construction Simulation & Visualization Engineer
Caterpillar Inc.
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Benefits offered by this job
Job summary
Caterpillar Inc. is seeking a Software Engineer - Simulation & Visualization to build the simulation engine behind autonomous construction machines.
You will develop the framework, UI, and orchestration to support high-fidelity machine, jobsite, and sensor simulations at scale in NVIDIA Omniverse, using C++/Python and modern visualization techniques. The role integrates robotic behaviors, autonomy systems, and sensor data into immersive visualization platforms, with emphasis on scalable,
Qualifications
- Bachelor's degree in CS, Software Engineering, or related field.
- 3+ years of Python experience.
- Experience building Web front-ends using frameworks (NextJs, Angular) and ThreeJs.
- Basic understanding of computer graphics (rasterization, projection matrix).
- Experience with 3D space manipulation and rendering.
- Experience with UX/UI design and documenting system design.
- Experience with open data and API publishing.
Responsibilities
- Design, build, test, and maintain scalable simulation software components for autonomous construction machines.
- Create tooling for scenario-based simulation workflows, including authoring and validation plans.
- Develop intuitive front-end interfaces for simulation authoring using modern frameworks.
- Build interactive 3D visualization features for jobsite, machines, sensors, and terrain.
- Apply software engineering best practices: architecture, testing, reviews, documentation, and performance optimization.
Skills
Education
Tools
Job description
Caterpillar Inc. is seeking a Software Engineer - Simulation & Visualization to build the simulation engine behind autonomous construction machines.
You will develop the framework, UI, and orchestration to support high-fidelity machine, jobsite, and sensor simulations at scale in NVIDIA Omniverse, using C++/Python and modern visualization techniques. The role integrates robotic behaviors, autonomy systems, and sensor data into immersive visualization platforms, with emphasis on scalable,
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