Senior Simulation Engineer

We are seeking a Lead Digital Twin Simulation Engineer to design and build nextgeneration Digital Twin platforms that integrate realtime 3D visualization, discrete event simulation, and multisystem interoperability.

This role requires deep hands-on expertise with NVIDIA Omniverse, USD (Universal Scene Description), simulation frameworks, and data pipelines. Working familiarity with Siemens Tecnomatix Plant Simulation for discrete-event modeling is strongly preferred.

You will play a key role in architecting scalable, productiongrade Digital Twin ecosystems for factories, logistics, automation, robotics, and manufacturing systems.

Key Responsibilities-

Digital Twin & Simulation Platform Engineering

• Architect and build endtoend Digital Twin solutions combining NVIDIA Omniverse realtime 3D environments with external simulation engines
• Develop scalable USDbased representations of factories, equipment, robots, AMHS pathways, and spatial layouts
• Design simulation connectors, orchestration logic, and services to enable multiengine simulation workflows.

NVIDIA Omniverse Development & USD Pipeline Ownership

• Lead development of Omniverse Extensions, custom tools, and automation using Python and C++ in Omniverse Kit
• Own USD asset pipelines, including ingestion, layer composition, versioning, schema compliance, materials, and geometry updates
• Integrate physicsbased simulations using Isaac Sim, PhysX, or Flow for realistic motion, pathing, and equipment behavior.

Simulation Integration (DES + 3D Visualization)

• Work with Siemens Tecnomatix Plant Simulation models to interpret and adapt discreteevent logic
• Develop workflows to synchronize material flow, cycle time, utilization, and KPIs from DES into Omniverse layers
• Ensure data and state consistency between simulation engines and realtime 3D environments

Software Engineering, Data & Platform Integration

• Design modular microservices and reusable libraries for:
• Data ingestion
• Scene generation
• Simulation orchestration
• Scenario automation
• Integrate data from MES, historians, sensors, logs, and realtime streams using APIs and ETL pipelines
• Build CI/CD pipelines for Omniverse extensions, USD assets, and simulation services
• Collaborate with DevOps, Data Engineers, and Simulation Specialists

Technical Leadership & Collaboration

• Translate realworld manufacturing and logistics processes into simulationready architectures
• Mentor junior engineers on Digital Twin, Omniverse, and simulation best practices
• Drive architectural decisions for tools, frameworks, and integration strategies in greenfield Digital Twin initiatives

Required Technical Skills-

A. NVIDIA Omniverse & RealTime 3D (Must Have)

• Strong expertise in NVIDIA Omniverse, including:
• Omniverse Kit / Create
• USD (Universal Scene Description)
• Extension development
• Material, geometry, and layer management
• Experience with Isaac Sim, PhysX, or Flow
• Solid understanding of realtime rendering and 3D simulation engines

B. Programming & Software Engineering

• Proficiency in Python (primary) and C++
• Strong objectoriented design and modular architecture skills
• Experience building APIs, microservices, automation scripts
• Familiarity with Git, CI/CD pipelines, automated testing

C. Simulation Ecosystem (Preferred)

• Experience or functional knowledge of Siemens Tecnomatix Plant Simulation, including:
• Frames, Methods, and OOP concepts
• DESto3D visualization integration
• Exposure to DiscreteEvent or AgentBased Simulation tools such as:
• AnyLogic
• FlexSim
• SimPy

D. Data Engineering & Integration (Good to Have)

• Python data stack: Pandas, NumPy
• SQL and data pipelines (Airflow, Prefect is a plus)
• Messaging systems: Kafka, MQTT, RabbitMQ
• Experience with AWS / Azure / Cloud or Edge Data Integration

Soft Skills & Collaboration-

• Strong technical communication with both technical and nontechnical stakeholders
• Experience working in crossfunctional simulation teams (DES, 3D, data, domain experts)
• Ability to handle ambiguity and design platforms from scratch
• Strong focus on documentation, reproducibility, and engineering excellence