We are looking for an experienced algorithms engineer to join our R&D team. You will develop navigation, estimation and sensor-fusion algorithms for our fire control systems. You will own the full cycle: modeling and simulation, real-time implementation, integration, and field testing.

What You’ll Do
• Design, develop and validate navigation algorithms based on inertial sensors (IMU/INS) and external aiding sensors
• Develop and tune estimation filters: KF, EKF, UKF, error-state filters, particle filters and related methods
• Develop statistical data-fusion algorithms that combine multiple heterogeneous sensors and information sources
• Perform sensor error modeling, calibration, alignment and observability analysis
• Build simulations, run Monte Carlo performance analyses, and analyze recorded field data
• Take part in field trials, integration and performance verification

Requirements
• B.Sc. or M.Sc. in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Physics or a related field
• At least 4–7 years of hands-on experience developing navigation and/or estimation algorithms
• In-depth knowledge of estimation theory and the Kalman filter family, including design, tuning and consistency analysis
• Proven experience with multi-sensor statistical data fusion
• Strong foundation in probability, statistics, linear algebra, kinematics and attitude representations (quaternions, DCM, Euler angles)
• Proficiency in MATLAB/Simulink and/or Python
• Experience working with real sensor data and analyzing test results

Advantages
• Background in GNC (Guidance, Navigation & Control): guidance laws, control loops, stabilization and pointing
• Experience in target tracking, fire control, electro-optics or computer vision
• Real-time C/C++ development on embedded platforms
• Experience in the defense industry

Interested? Send your CV to: CV+6806@hrhome.co.il