Flight Controls Engineer – Autoland & Autoflight Systems

Reliable Robotics; San Diego (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Reliable Robotics seeks a Flight Controls Engineer to join the GNC team in Mountain View, CA. You will design, implement, integrate, and test flight control laws for autotaxi, auto-takeoff, autoland, and rollout, integrating real hardware with C/C++ flight software and Python analysis within our modeling environment.

You will collaborate with pilots and operations, develop test plans, and advance simulation-based evaluation of control laws, with travel up to 10%.

Qualifications

• BS in aerospace engineering, robotics, or equivalent field.
• 3+ years of hands-on experience developing and testing flight controls algorithms.
• Experience with flight dynamics simulation and model identification.
• Professional experience with developing C/C++ flight software and Python data reduction & analysis.
• Excellent written and verbal communication skills.

Responsibilities

• Establish autoflight and flight control system requirements
• Interface with Pilots and Operations team to develop flight test plans, respond to squawks, and communicate design updates
• Design and analyze flight control laws from conceptual design through implementation and certification
• Develop simulation models to evaluate flight control system performance and stability
• Implement control laws and algorithms in flight software
• Test flight software in simulation, Monte Carlo, hardware-in-loop, and flight

Skills

Flight controls algorithms

C/C++ flight software

Python data analysis

Excellent communication

Education

BS in aerospace engineering or equivalent

MS in aerospace engineering or robotics (preferred)

Tools

Hardware-in-the-loop

Simulation environment

Job description

Reliable Robotics seeks a Flight Controls Engineer to join the GNC team in Mountain View, CA. You will design, implement, integrate, and test flight control laws for autotaxi, auto-takeoff, autoland, and rollout, integrating real hardware with C/C++ flight software and Python analysis within our modeling environment.

You will collaborate with pilots and operations, develop test plans, and advance simulation-based evaluation of control laws, with travel up to 10%.