IoT data simulation internship
Quick Summary
Nexxiot is digitalizing freight asset management with technology that now oversees the world’s most extensive network of connected intermodal containers and railcars.
Nexxiot is digitalizing freight asset management with technology that now oversees the world’s most extensive network of connected intermodal containers and railcars.
Clients gain access to unparalleled real-time data, which streamlines fleet management and automates logistics processes. Nexxiot devices, built for resilience, withstand extreme conditions and provide long-term, detailed insights into cargo events, including impacts, delays, safety and security incidents, and loading activities.
Based in Zurich, Switzerland, Nexxiot’s influence extends globally. Our team, comprised of industry experts, operates from offices in Europe and North America and maintains a presence in a majority of depots, ports, and rail yards.
To learn more about how Nexxiot is leading the value generation for the rail industry, please visit www.nexxiot.com.
As part of our engineering team, you will develop a realistic simulation of our IoT telematics ecosystem. The goal is to model the full lifecycle of a container shipment as faithfully as possible, covering both device behavior and the data they produce.
This means you will tackle two core challenges:
- Device behavior simulation — modeling real-world connectivity patterns, including when and where devices can or cannot transmit data (e.g., signal loss in tunnels, ports, or remote areas)
- Data simulation — generating realistic telemetry payloads from our hardware, including:
- Gateway data: GPS location, ambient temperature
- Sensor data: loading state, cargo temperature, door opening events, and more
- Design and implement a data simulator for our gateway and sensor devices
- Model real-world logistics routes and connectivity conditions
- Generate synthetic but realistic telemetry streams
- Package and deploy your simulation using Docker and Kubernetes
- Collaborate with our engineering team to align the simulation with real device specifications
- Studies in Computer Science, Software Engineering, or a related field
- Solid programming skills, ideally with experience in Kotlin
- Analytical mindset and a hands-on attitude
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 8, 2026
- First seen
- July 27, 2026
- Last seen
- August 1, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 22%
- Scored at
- July 27, 2026
Signal breakdown
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