Posted:2 months ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About the Company



About the Role



Responsibilities



  • Develop scalable, interactive digital twins for autonomous driving simulation, including vehicle behaviour, traffic dynamics, pedestrian modeling, and V2X scenarios.
  • Integrate LiDAR, camera, and RADAR sensor data into high-fidelity 3D environments using Omniverse or VISSIM or similar.
  • Collaborate with AI/ML teams to inject ground truth data and synthetic variations to improve prediction accuracy.
  • Develop 3D assets / city visualizations and integrate with live data feed with accurate positioning.


Qualifications



  • ~5 years of experience in simulation, game engines, or digital twin development.
  • 3D modelling tools like Maya / Blender & USD composer / presenter.
  • Proficiency in Python, C++, and 3D simulation platforms (e.g., Omniverse / Nucleus, CARLA, Unity and/or VISSIM).
  • Experience with integrating LiDAR, RADAR, and camera simulations.
  • Understanding of basic ML systems.
  • Familiarity with event-driven architectures, real-time streaming (Kafka, Flink), and CEP engines.
  • Deploying / Hosting digital twin platforms in cloud.
  • Hands-on experience with 3D modelling formats like USD, FBX, or glTF.


Required Skills



  • Strong mathematical and physics fundamentals for kinematics and motion modeling.
  • Experience with HD maps, city visualizer, localization systems, and coordinate transformations.
  • Any Previous work in factory modelling, smart city infrastructure, or V2X communications would be an added advantage.

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