Factory Simulation Engineer (Omniverse)

The Role:

We are seeking a Simulation Engineer, Omniverse Specialist to design, develop, and maintain high-fidelity simulation artifacts, digital twins, and process visualizations that support advanced manufacturing decisions across the company. This role will partner closely with manufacturing, automation, special projects, and product teams to deliver decision-grade simulations that accelerate factory design, de-risk capital investments, and improve production outcomes.

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.