Simulation Data Integration & Sensor Engineer

Swediumglobal; Espoo; On-site; Full time

Job summary

A leading system engineering firm in Finland is seeking a Simulation Data Integration & Sensor Engineer to build and maintain data pipelines connecting real-world sensor data to virtual environments using NVIDIA Omniverse. The ideal candidate should have strong Python skills and experience with simulation platforms like Isaac Sim. Responsibilities include validating simulation outputs and integrating various sensor inputs. This position is full-time and onsite in Finland, ideal for those passionate about robotics and simulation technologies.

Qualifications

• Experience integrating real-world data sources into simulations.
• Strong Python skills for data processing and simulation scripting.
• Ability to handle structured and semi-structured data.

Responsibilities

• Build and maintain data ingestion pipelines for simulations.
• Integrate sensor inputs into the virtual model.
• Validate simulation outputs against real-world behaviours.

Skills

Experience with Isaac Sim

Python skills

Data processing

Coordinate transforms

Sensor integration

Tools

NVIDIA Omniverse

ROS/ROS2

Unreal/Unity

Job description

Simulation Data Integration & Sensor Engineer

Swedium Global Services is the growing System Engineering and Solution Company, offers services like Semiconductor Engineering R&D Services, Embedded Systems Development, Custom Application Software Development, Web and Cloud Application Development, Testing Services, Consultancy and Outsourcing services to our clients across the globe for an onsite and offshore business model. Swedium Global is having presence in Sweden, Finland, Poland, Czech Republic and in India.

Location - Onsite, Finland

Job Title - Simulation Data Integration & Sensor Engineer

We are looking for a Simulation Data Integration & Sensor Engineer. Your role focuses 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 collaborate closely with the simulation architect to ensure the environment accurately represents real-world signals and system behaviour, while 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, GNSS, and other sensor inputs into the virtual model with 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 actual system behaviour.
• Handle coordinate transformations, position/velocity tracking, and basic kinematic calculations.
• Work with the simulation architect to ensure clean integration of sensor/data layers with the USD-based environment.

Required Qualifications

• Experience with Isaac Sim or another modern robotics simulation platform (ROS/ROS2, Gazebo, Unreal/Unity-based simulators, etc.).
• Hands-on experience integrating real-world data sources into simulations: sensor messages, telemetry streams, control signals, positional or machine-state data.
• Ability to handle structured and semi-structured data (binary formats, JSON/XML, UDP/TCP).
• Strong Python skills for ingestion layers, data processing, and simulation scripting.
• Understanding of coordinate transforms, position/velocity tracking, and basic kinematics.
• Experience validating simulation outputs against real-world or expected behaviour.

Preferred Qualifications

• Exposure to NVIDIA Isaac Sim Sensor API (camera, LiDAR, GNSS) or desire 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 connecting simulation environments to external test setups or automation tools.
• Experience implementing LiDAR-based systems — including hardware setup, calibration, and ROS2 stack development.