Simulation Data Integration & Sensor Engineer

SIRI AB; Tampere, Helsinki, Oulu; On-site; EUR 60,000 - 85,000; Full time

Job summary

A leading industrial organisation is seeking a Simulation Data Integration & Sensor Engineer in Tampere, Finland. The role involves building data pipelines and integrating sensor data into a simulation environment powered by NVIDIA technologies. Candidates should have strong experience with Isaac Sim, robust Python skills, and a background in robotics. This position offers the chance to work at the forefront of digital twin technology.

Qualifications

• Experience with Isaac Sim or another modern robotics simulation platform.
• Hands-on experience integrating real-world data sources into simulations.
• Strong Python skills for ingestion layers and simulation scripting.

Responsibilities

• Build and maintain data ingestion pipelines for sensor and telemetry streams.
• Integrate LiDAR, GPS, camera, GNSS into the virtual model.
• Validate simulation outputs against expected behavior.

Skills

Python

LiDAR

Tools

Isaac Sim

ROS/ROS2

Job description

2026041 - Simulation Data Integration & Sensor Engineer

Job Location: Finland

Number Of Positions: 1

Work Experience: 8-10 years

Profile Send by Date: 2026-04-06

Job Description

Overview

Our client, a leading industrial organisation, is seeking a Simulation Data Integration & Sensor Engineer to support a project focused on building a digital twin simulation environment. In this role, you will be responsible for bringing real-world data into the simulation by integrating sensor streams, telemetry, control signals, and machine data into a virtual environment powered by NVIDIA Omniverse and NVIDIA 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.

Requirements

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.

Skills

• Python
• LiDAR

Locations

• Tampere
• Helsinki

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