Senior Event-Based Robotics Research Engineer — VIO & Motion Estimation
Senior Event-Based Robotics Research Engineer — VIO & Motion Estimation
Senior Event-Based Robotics Research Engineer — VIO & Motion Estimation
Senior Event-Based Robotics Research Engineer — VIO & Motion Estimation
Promethion Industries
Verteidigung, Justiz, Polizei
Berlin
Senior Event-Based Robotics Research Engineer — VIO & Motion Estimation
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About Promethion Industries
Promethion Industries is a European defence technology company building autonomous supremacy systems for aerial and multi-domain operations. We design tightly integrated autonomy stacks in Europe to enable decisive autonomy for NATO-aligned forces, focusing on defensive and counter-system capabilities including anti-UAS and resilient autonomy under contested conditions.
Your mission with us
Develop event-based VIO and motion-estimation approaches for high-speed aerial robotics.
Explore asynchronous optical flow, event-IMU fusion and direct velocity estimation.
Develop continuous-time estimation approaches suitable for high-rate asynchronous sensing.
Evaluate event-based methods for GNSS-denied and high-dynamic flight.
Build and validate hybrid frame + event + IMU estimators.
Investigate velocity-space estimation for terminal high-dynamic operation.
Characterize failure modes including scale drift, low texture, sensor mismatch and high angular rates.
Port promising research onto embedded compute and evaluate real latency and resource requirements.
Work directly with the core state-estimation team to transition validated approaches into the main stack.
The offboarding work specifically highlights event+IMU fusion, direct velocity estimation and event-based high-speed state estimation, alongside concrete concerns around scale drift and embedded compute limits. Neuromorphic VIO and OF (1)
Your contribution to the team (required)
Strong research or engineering background in VIO, visual odometry, SLAM or state estimation.
Experience with event cameras or asynchronous sensing.
Strong understanding of IMU fusion and nonlinear estimation.
Strong C++ skills.
Experience implementing research algorithms on real hardware.
Strong understanding of sensor timing, calibration and high-rate data processing.
Ability to work from academic literature to reproducible real-world implementation.
Even if you don’t tick every box, we encourage you to apply - we’d love to hear from you.