WE ARE LOOKING FOR Simulation Data Integration & Sensor Engineer
Unikie is looking for a
Simulation Data Integration & Sensor Engineer to join a project building a digital twin simulation environment for a major industrial client. This role is focused on bringing the real world into the simulation — connecting sensor streams, telemetry, control signals, and machine data to a virtual environment built on NVIDIA Omniverse / Isaac Sim.
You will work closely with the simulation architect to ensure the environment accurately reflects real-world signals and system behaviour, building and maintaining the data pipelines that make the digital twin credible and useful for engineering and automation teams.
Key Responsibilities
- Build and maintain data ingestion pipelines that bring real-world sensor and telemetry streams into the simulation environment.
- Integrate LiDAR, GPS, camera, and other sensor data into the virtual model, ensuring realistic behaviour and correct timing.
- Interpret and process structured and semi-structured data formats — binary messages, JSON/XML, UDP/TCP streams.
- Validate simulation outputs against expected sensor characteristics and system behaviour.
- Handle coordinate transformations, velocity/position tracking, and basic kinematic calculations.
- Collaborate with the simulation architect to ensure sensor and data layers integrate cleanly with the USD environment.
Required Qualifications
- Experience with Isaac Sim or another modern robotics simulation platform (ROS/ROS2, Gazebo, Unreal/Unity-based simulators, or equivalent).
- Hands-on experience integrating real-world data sources into simulations: sensor messages, telemetry streams, positional data, control signals, or machine states.
- Ability to interpret and process structured or semi-structured data (binary messages, JSON/XML, UDP/TCP streams).
- Strong Python skills for building data ingestion layers, processing pipelines, and simulation scripting.
- Understanding of coordinate transformations, velocity/position tracking, and basic kinematics.
- Experience validating simulation outputs against expected system behavior or sensor characteristics.
Preferred Qualifications
- Exposure to NVIDIA Isaac Sim Sensor API (camera, LiDAR, GNSS), or willingness to deepen expertise.
- Background in robotics perception, sensor fusion, or computer vision.
- Experience with time-sensitive data processing, low-latency streaming, or real-time feedback loops.
- Familiarity with integrating simulation with external test setups or automation tools.
- Implemented LiDAR-based systems including hardware setup, calibration, and ROS2 stack development.
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