What are the responsibilities and job description for the Navigation Engineer position at EVONA?
Senior Vision-based Navigation Engineer
Location : Dallas, Texas
Pushing the Boundaries of Sensor Fusion Technology
Our client is at the forefront of developing cutting-edge multi-sensor fusion solutions for high-precision navigation. With a focus on inertial navigation, GNSS integration, and vision-based state estimation, their R&D team is dedicated to advancing sensor fusion algorithms for aerospace, defense, robotics, and autonomous systems.
The Role
We are looking for a Senior Navigation Engineer to lead the research, design, and implementation of advanced sensor fusion algorithms. In this role, you’ll work at the intersection of state estimation, sensor modeling, and real-time data integration, helping develop next-generation navigation systems. As projects evolve, you may have the opportunity to build and lead a small technical team.
Key Responsibilities
Develop and optimize state estimation and multi-sensor fusion algorithms for high-precision navigation.
Design tightly-coupled sensor fusion solutions integrating IMU, GNSS, vision-based navigation, and ranging technologies.
Implement and test algorithms in MATLAB and Python, performing rigorous simulations and performance analysis.
Work with sensor modeling techniques to improve accuracy and robustness in challenging environments.
Collaborate with a high-caliber R&D team to transition algorithms from research to working prototypes.
Potentially lead and mentor a specialized team as projects move toward commercialization.
What We’re Looking For
10 years of experience in multi-sensor fusion and state estimation, or 5 years with strong expertise in vision-based navigation.
Deep knowledge of state estimation techniques (e.g., Kalman filters, factor graphs, error-state filtering).
Experience developing tightly-coupled sensor fusion algorithms for IMU, GNSS, and vision-based navigation.
Strong programming and simulation skills in MATLAB and Python.
Familiarity with vision-based navigation methods (e.g., feature tracking, SLAM, optical flow) is a plus.
