Navigation Algorithms Engineer

We are looking for a Navigation Algorithms Engineer to join our core R&D team.

In this role, you will develop the mathematical and algorithmic foundation of our navigation engine. You will work on state estimation, tracking, localization, motion modeling, and multi-sensor fusion in challenging real-world conditions.

This is a highly technical role for someone who is strong in estimation, navigation algorithms, and applied mathematics, and who enjoys turning theory into robust working systems.

What You’ll Do

• Develop and improve navigation, localization, and tracking algorithms
• Design and implement estimation frameworks for dynamic systems
• Develop filtering and fusion algorithms, including:

Kalman filters

Extended / Unscented Kalman filters

Bayesian estimation methods

Multi-sensor fusion

• Build motion and measurement models for real-world navigation scenarios
• Analyze system performance under noise, uncertainty, and degraded conditions
• Develop simulation and evaluation tools in Python, MATLAB, or C++
• Work closely with multidisciplinary R&D teams to integrate algorithms into operational systems
• Support algorithm validation through simulation, recorded data, and system-level testing

Requirements

• M.Sc. or Ph.D. in Electrical Engineering, Aerospace Engineering, Robotics, Applied Mathematics, Physics, or a related field
• Strong background in:

1. Estimation theory
2. Navigation algorithms
3. Localization and tracking
4. Linear algebra, probability, and dynamic systems

• 3+ years of hands-on experience developing navigation / estimation / tracking algorithms
• Strong programming skills in Python, or C++
• Experience with one or more of the following:

1. Kalman filtering & Sensor fusion - must have
2. Inertial navigation
3. Localization
4. Motion estimation
5. Autonomous systems

• Ability to translate mathematical concepts into robust and practical algorithms

Advantages

• Experience with GNSS, alternative PNT, or navigation in denied environments
• Experience with IMU fusion and dead reckoning
• Experience with nonlinear estimation methods
• Experience with trajectory estimation and dynamic tracking
• Experience in defense, aerospace, robotics, or autonomous platforms