DevJobs

Navigation Algorithms Engineer

Overview
Skills
  • C++ C++
  • Python Python
  • Kalman filtering
  • MATLAB
  • Multi-sensor fusion
  • Alternative PNT
  • Autonomous systems
  • Dead reckoning
  • GNSS
  • IMU fusion
  • Inertial navigation
  • Localization
  • Motion estimation
  • Nonlinear estimation methods
About The Role

Starbird is a Tel Aviv-based startup building GPS-independent positioning, navigation, and timing (PNT) technology for defense and civilian markets. You will join a growing company working on new and exciting technology.

We are looking for a Navigation Algorithms Engineer to join our core R&D team and develop the mathematical and algorithmic foundation of our navigation engine. You will work on state estimation, tracking, localization, motion modeling, and multi-sensor fusion under challenging real-world conditions. This is a highly technical role for someone strong in estimation, navigation algorithms, and applied mathematics, who enjoys turning theory into robust, working systems.

Location: Tel Aviv

  • Scope: Full-time

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 extended and federated Kalman filters and ultra-tightly coupled integration.
  • Analyze system performance under noise, uncertainty, and degraded conditions.
  • Build simulation and evaluation tools in Python 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.
  • 3+ years of hands-on experience developing navigation, estimation, or tracking algorithms.
  • Hands-on experience with Kalman filtering and multi-sensor fusion.
  • Strong background in estimation theory, navigation algorithms, and localization and tracking.
  • Solid foundation in linear algebra, probability, and dynamic systems.
  • Experience with one or more of the following: inertial navigation, localization, motion estimation, or autonomous systems.
  • Demonstrated experience working with real measurement data—not simulation only.
  • Strong programming skills in Python, plus C++ or MATLAB.
  • Ability to translate mathematical concepts into robust, practical algorithms.

Advantages

  • Experience with GNSS, alternative PNT, or navigation in GNSS-denied environments.
  • Experience with IMU fusion and dead reckoning.
  • Experience with nonlinear estimation methods.
  • Background in defense, aerospace, robotics, or autonomous platforms.
Starbird AI