Control & Navigation Engineer at XTEND

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Control Engineering, Navigation Systems, Kalman Filtering, Sensor Fusion, Nonlinear System Dynamics, Real-Time Systems, Signal Processing, Trajectory Tracking, System Stability, Python, C/C++, Embedded Systems, UAV Platforms, UGV Platforms, ROS 2, PX4

Industry

Aviation & Aerospace

Description

We’re looking for a skilled Control & Navigation Engineer to join our core team and help push the limits of autonomous robotics. You’ll work on estimation, control, and real-time systems, developing algorithms that run on real robots operating in complex, dynamic environments. In this role, you’ll own meaningful parts of our GNC stack, from multi-sensor fusion and EKF development to real-time integration of new sensing modalities. You’ll work closely with our embedded, perception, and platform teams to bring robust autonomy to production-grade systems. Responsibilities Develop and implement state estimation algorithms. Integrate new sensors (IMU, magnetometer, GPS, LiDAR, radar, camera-based systems, etc.) trough signal processing and into the real-time navigation stack Contribute to control algorithm development for robust trajectory tracking and system stability. Analyze flight/robot logs and design improvements for estimator and controller performance Work on real-time, resource-constrained systems, ensuring determinism and reliability. Test and validate your algorithms in both simulation and real-world field environments and operations Collaborate with Embedded, Perception, and software teams to deliver end-to-end solutions Write clean, maintainable, and production-quality code. Requirements BSc or MSc in Mechanical, Aerospace, or related engineering fields. 3–5 years of hands-on experience in Kalman filtering, sensor fusion, and nonlinear system dynamics. Experience with real-time systems and integrating multiple sensor sources Familiarity with Python for analysis, visualization, and tool development. Ability to work independently and collaboratively in a fast-paced environment Strong problem-solving skills and the mindset to diagnose complex system behavior. Nice to Have Experience with UAV/UGV platforms or autonomous robotics Experience with PX4, ROS 2, or similar frameworks Experience working with C/C++ in Linux environments Hands-on lab or field-testing experience (hardware bring-up, calibration, debugging) Background in control theory (LQR, MPC, nonlinear control) Why Join Us? Work on real robots your algorithms will fly, drive, and operate in the field Join a highly experienced team dedicated to building high-performance autonomous systems Take ownership of significant parts of the navigation and control stack Fast learning and high-impact environment where your contributions matter Opportunity to grow into senior/lead positions as the team expands

Responsibilities

Develop and implement state estimation algorithms and integrate new sensors into the real-time navigation stack. Collaborate with various teams to deliver end-to-end solutions and ensure the performance of the control algorithms.