Navigation Engineer: GPS & Inertial Systems (Travel 25%)

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Navigation Engineer to design and evaluate advanced navigation solutions for missile and weapon systems. You will work on GPS-denied navigation, sensor fusion, and Kalman-filter based state estimation, with opportunities to influence DoD programs.

Join a team applying AI/ML approaches and rigorous simulations to ensure robustness of navigation under diverse environments.

Qualifications

• Bachelor's degree in a technical field and 5+ years in navigation systems.
• Experience in inertial navigation design, sensor fusion and state estimation.
• Proficiency with MATLAB, Simulink and C++ for analysis and simulation.
• Strong communication and collaboration skills across diverse teams.
• Willingness to travel up to 25% and obtain security clearances.

Responsibilities

• Design and analyze navigation systems including strapdown algorithms and aiding filters using IMU, GPS, terrain sensors.
• Mentor junior staff and help maintain deep knowledge across GPS aiding and inertial navigation.
• Use simulations (Monte Carlo and covariance methods) to predict behavior and perform system trades.
• Analyze contractor designs to assist DoD program offices during the acquisition cycle.
• Develop and maintain relationships with DoD sponsors and pursue new PNT initiatives.

Skills

Navigation systems

Kalman filtering

Sensor fusion

Inertial navigation

GPS aiding

MATLAB

Simulink

C++

Communications

Team mentorship

Education

Bachelor's degree in Computer Science, Aerospace Engineering, Mathematics or Physics

PhD in Aerospace Engineering, Electrical Engineering, Mathematics or Physics

Tools

MATLAB

Simulink

C++

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Navigation Engineer to design and evaluate advanced navigation solutions for missile and weapon systems. You will work on GPS-denied navigation, sensor fusion, and Kalman-filter based state estimation, with opportunities to influence DoD programs.

Join a team applying AI/ML approaches and rigorous simulations to ensure robustness of navigation under diverse environments.