Robotics Navigation Engineer: GPS-Denied, Field-Ready

Leidos LLC

Huntsville (AL)

On-site

USD 87,000 - 157,000

Full time

14 days+
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Job summary

Leidos LLC in Huntsville, AL is seeking a Robotics Navigation Engineer to develop real-time GPS-denied navigation for robotic platforms, with hands-on testing and field demonstrations.

You will work in a small team on navigation algorithms using sensor fusion (EKF/UKF/particle filters) with MATLAB/C++/Python, and travel 1–2 weeks per demo 3–4 times yearly to showcase results in real-world conditions.

Qualifications

  • Bachelor’s degree in a technical field and 4+ years of experience, or Master’s with 2+ years of experience.
  • 2+ years with sensor fusion algorithms: EKF, UKF, particle filters, or factor graphs.
  • MATLAB programming/analysis experience.
  • US Citizen.
  • Ability to obtain and maintain Secret clearance.

Responsibilities

  • Develop real-time GPS-denied navigation algorithms for robotic platforms.
  • Navigate aircraft, ships, ground vehicles, and pedestrians.
  • Fuse inputs from inertial sensors, GPS, altimeters, cameras, lidar, odometers, radios.
  • Use CV techniques like feature matching, SLAM, and visual odometry to extract navigation measurements.
  • Work in a team of 3-5 engineers to test algorithms on demonstration hardware.
  • Travel 1-2 weeks per demo, 3-4 times a year.
  • Present techniques, solutions, and results to the team and customers.

Skills

Sensor fusion
Kalman filters
Particle filters
Factor graphs
MATLAB
C++
Python
Linux
Git
Subversion

Education

Bachelor’s degree in a technical field
Master’s degree (preferred)

Tools

Git
Subversion

Job description

Leidos LLC in Huntsville, AL is seeking a Robotics Navigation Engineer to develop real-time GPS-denied navigation for robotic platforms, with hands-on testing and field demonstrations.

You will work in a small team on navigation algorithms using sensor fusion (EKF/UKF/particle filters) with MATLAB/C++/Python, and travel 1–2 weeks per demo 3–4 times yearly to showcase results in real-world conditions.

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