Based in the EU. Working in remote setups. Grounded in reality.
Unternehmen
You are joining an international deep-tech startup working on advanced drone technology.
The founding context is shaped by real-world urgency — the defence relevance is not theoretical, and the technology is needed today.
The company operates precisely at the intersection of: research | real-world application | go-to-market execution
This is a setup for engineers who
* are comfortable operating under uncertainty
* take ownership and drive things forward
* understand that technology only matters when it performs outside controlled environments
You should therefore ask yourself honestly: Do I want the technology I build to be used in a dual-use context, including defence applications?
Ihr Aufgabengebiet
* A core part of your work is the analysis of real drone flights
* When you implement a change, it is deployed to the system, tested in real-world conditions, and you verify whether it performs reliably outside of ideal scenarios
Examples
* If a drone deviates from its trajectory after a 20 km flight, you dive into the logs, reconstruct the flight path, and identify whether the root cause lies in sensor errors, synchronization issues, or the underlying mathematical model
* If communication between components is unreliable, you analyze data flows between the onboard computer (e.g. Raspberry Pi) and the flight controller, ensuring that all systems operate consistently
* If visual odometry (camera-based motion estimation) degrades during aggressive maneuvers, you investigate whether the issue stems from vibration (noisy IMU data), poor synchronization between camera and IMU, or an inadequate motion model
Unsere Anforderungen
* You have a strong academic background (bachelor/master), typically in robotics, computer science, technical physics, aerospace engineering, or a related technical discipline
* You bring at least 3 years of experience in robotics or autonomous systems (e.g. UAVs), including hands-on work with technologies such as ROS/ROS2, Visual-Inertial Odometry, or navigation stacks - ideally in drone-related projects
* You have experience in sensor fusion and localization, for example working with Kalman filters, IMU data, GNSS/GPS, camera, or LiDAR data in real-world applications
* You are proficient in embedded software development, with C++ skills and Linux-based environments, as well as experience using Python for data analysis
* You possess solid mathematical foundation and are able to reason about models and uncertainty in complex systems
* You are fluent in English and comfortable collaborating in an international team; knowledge of Ukrainian or Russian is a plus
Was we bieten
* Startup character, but financially secured for the coming years, supported in part by Austrian funding programs and investors
* You can work from anywhere; meetings for technical exchange are held remotely
* You will join a genuinely supportive and kind team — a place where different life realities are understood and respected
* At the same time, the team works hard because it knows what it is building for: a strong mix of Silicon Valley mindset and pragmatism
Additional
* If a specific job title is important to you, that can be aligned - what matters more is the output
* Compensation is open for discussion; while this is a startup, salary is not just base pay — let’s discuss overall packages and individual needs openly