Hybrid Paris: Sensor Fusion & Localization Engineer

Zendar; Paris; Hybride; EUR 75 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Meal vouchers

Wellness Pass

Commuter benefits

Modern workspace

Résumé du poste

Zendar, based in Paris, seeks a Sensor Fusion & Localization Engineer to design and implement the state estimation framework behind our radar-centric autonomy stack. You will work across radar, vision, and inertial sensing to develop robust localization, odometry, mapping, and calibration algorithms for autonomous systems.

You will have access to raw spectral radar data and treat radar as a primary sensor in robotics state estimation, contributing to a production-ready perception stack for

Qualifications

• MSc in Robotics, Computer Vision, Electrical Engineering, or a related field.
• Strong mathematical foundation in linear algebra, probability, estimation theory, optimization, and 3D geometry.
• Strong understanding of sensor fusion, localization, and state estimation methods, including Kalman filtering and factor graph optimization.
• Strong software engineering skills in Python and C++.
• Experience designing, implementing, and debugging complex robotics systems.

Responsabilités

• Architect a Multi-Sensor State Estimation System: own design and implementation for fusion of camera, radar, and IMU data.
• Deliver Production-Ready Algorithms: multi-sensor SLAM, localization, and online calibration.
• Drive Reliability: target high-robustness for real-world driving scenarios.
• Optimize for Real-Time: collaborate with embedded teams to meet latency and memory constraints.

Connaissances

Python

C++

Robotics systems

Architectural leadership

Formation

MSc in Robotics or related field

Description du poste

Zendar, based in Paris, seeks a Sensor Fusion & Localization Engineer to design and implement the state estimation framework behind our radar-centric autonomy stack. You will work across radar, vision, and inertial sensing to develop robust localization, odometry, mapping, and calibration algorithms for autonomous systems.

You will have access to raw spectral radar data and treat radar as a primary sensor in robotics state estimation, contributing to a production-ready perception stack for