Lead Digital Twin Simulation Engineer

Job description

**Educational Requirements** Bachelor of Engineering,Bachelor Of Technology,BCA,BSc,Master Of Engineering,Master Of Technology,MCA,MSc **Service Line** Engineering Services **Responsibilities** . Digital Twin & Simulation Platform Engineering - Architect and develop end to end digital twin solutions integrating Omniverse real time 3D environments with external simulation engines. - Build scalable, modular USD based representations of factories, equipment, robots, AMHS pathways, and spatial layouts using Omniverse Create/Kit, USD Composer, or equivalent. - Develop simulation logic, connectors, and microservices to orchestrate multi engine simulations through Omniverse??s collaborative compute environment. 2. Omniverse Development & USD Pipeline Ownership - Lead development of Omniverse extensions, custom tools, interactive UI panels, or scripted automation using Python/C++ in Omniverse Kit. - Manage USD asset ingestion, versioning, layer composition, material/geometry updates, and schema compliance. - Integrate physics simulations (Isaac Sim, Flow, or PhysX) where applicable for accurate movement, pathing, and equipment behavior. 3. Software Engineering & Integration - Design modular simulation microservices and reusable libraries for data ingest, scene generation, simulation orchestration, and scenario automation. - Develop CI/CD workflows for simulation assets, USD files, Omniverse extensions, and integration services. - Collaborate with DevOps, data engineers, and simulation engineers on build/test pipelines 4. Preferred - functional knowledge of Tecnomatix Plant Simulation to read, interpret, or adapt DES models developed by simulation specialists. - Build connectors or workflows that synchronize Plant Simulation outputs (material flow, cycle times, utilization) with Omniverse layers for visualization and scenario playback. - Ensure data and state consistency across DES and Omniverse engines. - Integrate data from MES, historians, sensors, logs, and simulation outputs into the digital twin environment through APIs, ETL pipelines, or real-time streams. - Work with Python, SQL, REST, gRPC, message queues, and cloud services to ensure reliable data flow. - Pair with domain experts to translate process logic into simulation compatible structures. - Mentor junior engineers on Technology best practices. - Drive technical decisions on architecture, frameworks, tooling, and integration pathways. **Additional Responsibilities:** C. Simulation Ecosystem - Practical exposure to Siemens Tecnomatix Plant Simulation(preferred) o Understanding Frames, Methods, OOP structure, inheritance models o Ability to interface DES with 3D visualization layers - Prior work with discrete event or agent based simulation engines (SimPy, AnyLogic, FlexSim, etc.) is beneficial. D. Data Engineering & Integration ( Good to have) - Python data stack (Pandas, NumPy) - SQL + data pipelines (Airflow, Prefect, etc. is a plus) - Messaging systems (Kafka, MQTT, RabbitMQ) or streaming frameworks - Experience with cloud (AWS, Azure) or edge data integrationC