Yes, I want to. achieve greatness.

• 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.

You will work on concrete questions such as:

• Why does the drone slowly drift away from its planned trajectory after several kilometers of flight?
• Why does the position estimation degrade during aggressive flight maneuvers?
• Why does the camera provide different motion information than the IMU?

To solve these problems, you will analyze:

• Flight logs and reconstructed trajectories
• IMU, camera, GNSS/GPS, LiDAR, and speed-sensor data
• Drift and odometry behavior
• Kalman-filter states, residuals, and sensor-fusion outputs
• Timing, synchronization, and data pipelines between different hardware components

• 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 with state estimation and localization algorithms in real-world robotic systems 
• You have experience in sensor fusion and localization: Kalman filters (EKF/UKF), visual-inertial odometry (VIO), 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 flight-log analysis, debugging, and 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

• 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