STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.
We are focused on delivering deployable, high-performance systems, not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe today.
Flight Data Engineer
Kyiv
Full-time
Permanent employee
About Us
Responsibilities
- Field Log Analysis: review flight logs immediately after flight tests to verify data quality and sensor health.
- Physics & Weather Correlation: match log anomalies with physical reality. If the drone dropped 2 meters, identify if it was a barometer error, a motor desync, or a downdraft.
- Data Labeling: annotate specific flight segments (e.g., "automatic landing," "EW jamming test," "high-G turn") so analysts know exactly what happened in each timeframe.
- Data Cleaning: filter out noise, correct timestamp alignments between different sensors, and remove invalid data points before the data enters our main pipeline.
- Pipeline Maintenance: write and maintain Python scripts that automate the initial ingest and validation of field data.
- Feedback Loop: report critical failures to the engineering team immediately while still in the field to enable requisition of the data.
Qualifications
- Experience analyzing flight logs (PX4, ArduPilot, or proprietary stacks).
- Strong understanding of UAV aerodynamics and control theory (PID loops, EKF).
- Proficiency in Python (pandas, NumPy, matplotlib) for data processing.
- Ability to work in field conditions (outdoors, laptop-based, variable weather).
- Knowledge of sensor physics (IMU, GNSS, magnetometers, pitot tubes).
Nice-to-Have:
- Experience with flight visualization tools (FlightPlot, PlotJuggler).
- Background in experimental physics or mechanical engineering.
- Experience with SQL or time-series databases.
About us
LEGAL DISCLAIMER
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.