We’re looking for a skilled Senior 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.
- 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
Skills Required
- 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.
- Strong problem-solving skills and ability to diagnose complex system behavior.
What We Do
XTEND provides revolutionary human-guided autonomous machine systems that enable any operator to perform extremely accurate maneuvers and actions, in any environment with minimal training. The company's patented XOS operating system fuses the best of human intelligence and machine autonomy to enhance the operator's abilities, and simultaneously reduce the need for physical confrontation, thereby minimizing casualties and injuries. Hundreds of XTEND's systems are already operationally deployed worldwide, and the company is continuously developing its XOS operating system and platforms to deliver the future of human-machine teaming to defense, public safety, and security professionals worldwide.
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