Define guidance system capabilities and requirements with operations and pilot teams.
Design guidance features integrating with flight-control systems and pilot displays.
Implement flight guidance algorithms in simulation and flight software using C/C++ and Python.
Reduce and analyze simulation, laboratory, and flight-test data.
Evaluate guidance system performance through simulation, hardware-in-the-loop, and flight-test cases.
Travel approximately 10% of the time.
Requirements
Master’s degree in aerospace engineering, robotics, or an equivalent field.
8+ years of professional experience developing guidance or motion-planning algorithms for real-time vehicle systems.
Professional software development experience in C/C++ and Python.
Excellent ability to communicate system behavior to end users.
Preferred: PhD in aerospace engineering, electrical engineering, computer science, or a similar advanced field.
Preferred: technical expertise in motion planning, control systems, probability theory, or optimization.
Preferred: experience developing software for safety-critical applications.
Preferred: experience with Flight Management System certification.
Preferred: current pilot, instrument, or commercial rating.
Benefits
Approximately 10% travel is required.
The role may require access to U.S. export-controlled information, with employment contingent on compliance with U.S. export-control laws and applicable authorization requirements.
Salary: $215k - $300k/yr
Reliable Robotics Corporation
The Reliable autonomous flight system will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods and people move around the planet. @reliable_robot