Staff Engineer, Sensor Fusion & Localization (m/f/d)
Core
Develop core state estimation and sensor fusion systems enabling robots to understand position and motion in complex, GPS-denied environments.
Role type
Staff Engineer, Sensor Fusion & Localization
Builds
Production ML models and real-time processing pipelines for autonomous ground vehicles
Domain
Robotics, Autonomous Vehicles, Sensor Fusion
Deliverable
production ML models
Required skills
C++ development, EKF, UKF, particle filters, nonlinear observers, factor graph-based SLAM, multi-sensor integration (LiDAR, camera, IMU, GNSS, radar), inertial navigation, visual-inertial concepts
Technologies
C++, EKF, UKF, particle filters, factor graphs, SLAM
Responsibilities
Develop advanced sensor fusion and state estimation algorithms for robust localization in GPS-denied environments; Implement and improve methods such as EKF, UKF, particle filters, and nonlinear observers for state estimation and factor graph-based SLAM methods; Fuse and synchronize data from cameras, LiDAR, radar, IMUs, GNSS, magnetometers, and barometers into reliable real-time state estimates; Design low-latency, real-time processing pipelines for autonomous robotic systems; Build and refine localization performance through simulation, controlled testing, and real-world validation under degraded sensing conditions; Collaborate closely with hardware and software teams to ensure accurate calibration, synchronization, and system integration; Prototype, evaluate, and deploy new multi-sensor fusion and estimation approaches; Debug and resolve complex issues across sensor data, calibration, and estimation pipelines; Contribute to resilient GPS-denied navigation capabilities for autonomous ground vehicles
Seniority
Staff, hands-on IC