Infosys
Infosys

Lead Digital Twin Simulation Engineer

RoleEngineering Services
LevelLead
LocationBangalore, India
WorkOn-site
TypeFull-time
Posted2 months ago
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About the role

The Lead Digital Twin Simulation Engineer will architect, develop, and integrate advanced digital twin environments that combine discrete event simulation, real time 3D visualization, and multi system interoperability. The role emphasizes technical depth—especially within NVIDIA Omniverse, USD based workflows, simulation frameworks, and data pipelines—A working familiarity with Siemens Tecnomatix Plant Simulation for discrete-event modeling is preferable

.

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.

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.

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

    1. 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.

  • A. Omniverse & Real Time 3D (Must Have)

  • Deep expertise in NVIDIA Omniverse, including:

  • Omniverse Kit / Create

    • USD (Universal Scene Description), Extensions development
    • Material, geometry, and layer management
    • NVIDIA Isaac Sim, PhysX, or Flow (preferred)
  • Strong grasp of 3D engines, real-time rendering, and simulation infrastructures.

  • B.

Programming & Engineering:

  • Proficiency in Python (primary scripting), C++ (tooling/extension development), and object oriented design.

  • Experience building APIs, microservices, or automation scripts for simulation workflows.

  • Familiarity with Git, CI/CD pipelines, automated testing for simulation tools.

  • C. Simulation Ecosystem

  • Practical exposure to Siemens Tecnomatix Plant Simulation(preferred)

    • Understanding Frames, Methods, OOP structure, inheritance models
    • Ability to interface DES with 3D visualization layers
  • Prior work with discrete event or agent based simulation engines (Sim Py, Any Logic, Flex Sim, etc.) is beneficial.

  • D. Data Engineering & Integration ( Good to have)

  • Python data stack (Pandas, Num Py)

  • 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

Education: Master Of Engineering,Master Of Technology,MCA,MSc,Bachelor of Engineering,Bachelor Of Technology,BCA,BSc

Preferred skills: Technology->Embedded Software->Software-in-Loop Simulation Environment,Technology->Communication Design->3D Studio Max->3D simulation,Technology->Video Design->Softimage->3D animation

About Infosys

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