Factory Simulation Engineer (Omniverse), Special Projects

What You’ll Do

• Develop, maintain, and evolve high-fidelity 3D and discrete-event simulations using NVIDIA Omniverse and related toolchains.
• Create reusable simulation assets, plugins, workflows, and visualization pipelines for cross-factory use.
• Translate ambiguous operational inputs (verbal descriptions, low-fidelity drawings, early layouts) into accurate, runnable simulation models.
• Partner with cross-functional stakeholders (Operations, Automation, Controls, Finance, Special Projects) to define simulation requirements and success metrics.
• Deliver simulation insights that inform layout decisions, throughput targets, capital planning, and risk mitigation.
• Steward the simulation toolchain, ensuring scalability, maintainability, and alignment with long-term platform architecture.
• Rapidly prototype models (0→1) and iterate them into production-ready, decision-grade assets.
• Communicate findings clearly to both technical and non-technical audiences, including executives.
• Support onboarding and knowledge transfer by documenting workflows, assumptions, and modeling standards.

What We’re Looking For

• Bachelor’s degree in Computer Science, Software Engineering, Mechatronics, Industrial Engineering, or a related field (or equivalent practical experience).
• 2–4 years of hands-on experience with Omniverse and/or robotics or factory simulation environments.
• 2+ years of engineering experience in a factory, manufacturing, or industrial setting.
• Demonstrated ability to make data-driven recommendations that improve production or operational metrics.
• Experience modeling multiple process technologies and production flows based on incomplete or low-fidelity inputs.
• Proficiency in Python (OOP) and/or C++, with experience using simulation or visualization APIs.
• Experience working with CAD data and industrial layouts.

What Will Set You Apart

• Experience with Visual Components, discrete-event simulation engines, or similar platforms.
• Familiarity with Unity, Unreal Engine, Blender, AnyLogic, or Siemens Tecnomatix.
• Strong industrial engineering fundamentals (line balancing, takt/cycle time modeling, throughput analysis).
• Experience cleaning, parameterizing, and automating CAD assets for simulation reuse.
• Background in digital twin platforms or large-scale manufacturing simulations.