Sensor Fusion Engineer

Stellenbeschreibung:

About Us

STARK is a new kind of defence technology company revolutionizing 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’re 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.


Qualifications

  • Strong experience in INS/GNSS sensor fusion
  • Deep knowledge of Kalman filtering (EKF, Error-State EKF)
  • Sensor modeling and stochastic error characterization
  • Experience with IMU, GNSS, magnetometer, and barometric data
  • Excellent C++ skills
  • ROS2 experience
  • Low-level sensor driver development
Nice to Have
  • Inertial navigation error modeling
  • Coordinate frames & transformations
  • Time synchronization & latency handling
  • MATLAB / Python prototyping
  • Monte Carlo analysis
  • Aerospace/UAV/robotics background
  • Mathematics and/or Physics double major (advantage)

If you´re intersted in building the future of European Defence with us, and you see yourself reflected in the description above, please send us your CV in English. We´re looking forward to meeting you!


Your mission

Design and implement multi-sensor fusion algorithms that provide reliable state estimation across diverse sensor modalities.


Responsibilities

  • Design and implement INS/GNSS sensor fusion algorithms using EKF / Error-State EKF
  • Model and fuse data from:
    • IMU (accelerometers & gyroscopes)
    • Magnetometers
    • GNSS receivers
    • Barometers / Air Data Systems
    • Auxiliary sensors (vision, lidar, etc.)
  • Develop and maintain IMU and sensor drivers
  • Implement real-time estimation algorithms in C++
  • Integrate within ROS2 systems
  • Perform stochastic sensor error characterization
  • Conduct system-level debugging and validation
  • Support simulation, HIL/SIL, and field testing

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Stelleninformationen

  • Veröffentlichungsdatum:

    22 Mär 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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