Senior Event-Based Robotics Research Engineer — VIO & Motion Estimation
Promethion Industries
Job Zusammenfassung
Du entwickelst event-basierte VIO- und Bewegungsschätzungsansätze für High-Speed-Robotik. Du arbeitest an Event-IMU-Fusion, testest Algorithmen auf realer Hardware und integrierst diese in den Haupt-Stack.
Das solltest du mitbringen
Arbeitserfahrung
Forschung oder Engineering in VIO, visual odometry, SLAM oder state estimation
Weitere Infos zu Qualifikationen & weiteren Anforderungen findest du in der Ausschreibung.
Über den Job:
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.
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Job-ID.: 29142894
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