Autonomy Algorithm Engineer

5+ years of experience

Luxembourg

On-site

For our client, we are looking for an experienced Autonomy Algorithm Engineer to join a cutting-edge aerospace company developing advanced unmanned aerial systems. The company focuses on building high-performance UAV platforms and autonomy solutions designed to operate in complex, GPS-denied and mission-critical environments.

This is a fully on-site role based in Luxembourg.

Role overview
You will be responsible for developing core autonomy algorithms enabling fully autonomous UAV flight in complex and contested environments. This includes state estimation, navigation, control, and mission-level autonomy across GNSS-denied and communication-degraded conditions.

Key responsibilities

State estimation and navigation

Design and implement EKF/UKF-based state estimation systems integrating IMU, GPS, vision, barometer, and RF signals
Develop and optimize visual-inertial odometry and SLAM pipelines (e.g. ORB-SLAM3, VINS-Fusion, LIO-SAM or similar)
Build robust localization systems capable of operating under GPS jamming, spoofing, and sensor degradation

Flight dynamics and trajectory algorithms

Develop motion prediction and trajectory estimation models for dynamic flight conditions
Implement control-oriented estimators for tracking, collision avoidance, and swarm coordination
Integrate estimation frameworks with flight control systems (PX4, ArduPilot)

Mission-level autonomy

Design autonomous mission behaviors including ISR patterns, threat response, and failsafe logic
Implement adaptive mission replanning under uncertainty and degraded inputs
Develop terminal guidance algorithms for high-dynamic environments
Ensure compliance with airspace rules, geofencing, and U-space requirements

Autonomy stack development

Build and maintain full autonomy pipelines including path planning (A*, RRT, MPC), obstacle avoidance, and behavior trees
Develop swarm coordination protocols and multi-agent task allocation
Implement failsafe and recovery mechanisms for fully autonomous operation

Integration and validation

Integrate algorithms into ROS2-based systems and flight stacks
Validate performance in simulation (Gazebo, MATLAB/Simulink, PX4 SITL) and HIL environments
Analyze telemetry and optimize KPIs such as accuracy, robustness, and convergence time
Document system design, performance, and interfaces

Requirements

Master’s or PhD in Robotics, Control Systems, Electrical Engineering, Computer Science or related field
3+ years of experience in autonomy, robotics, or UAV navigation systems
Strong expertise in Kalman filters (EKF, UKF) and sensor fusion
Deep understanding of SLAM and visual odometry
Strong programming skills in C/C++ and Python (Eigen, Ceres, NumPy, SciPy)
Experience with simulation tools and real-world validation
Familiarity with PX4 or ArduPilot and MAVLink
Strong mathematical foundation in linear algebra, probability, and control theory
English Upper-Intermediate or higher

Nice to have

Experience with ROS2 and distributed systems
Background in swarm systems or multi-agent coordination
Experience with factor graph optimization (GTSAM, g2o)
Knowledge of RF-based positioning systems (UWB, pseudolite)
Experience with real-time systems (FreeRTOS, Zephyr, NuttX)
Familiarity with safety-critical standards (DO-178C, MISRA, STANAG 4671)
Publications or open-source contributions in robotics or SLAM

What We Offer

Office-based work in Luxembourg (5 days per week).
Relocation assistance.
26 days of paid vacation.
Medical insurance and sick leave covered by the Luxembourg national healthcare system.
Clear work-life balance policy with no overtime culture.