Senior Autoland & Flight Control Engineer

Reliable Robotics Corporation; Mountain View (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Reliable Robotics Corporation in Mountain View, CA is seeking a Sr. Flight Control Law Engineer to join their Guidance, Navigation, and Control (GNC) Team. The role involves designing, implementing, integrating, and testing flight control laws for various operations. Candidates should have an MS in aerospace engineering or related field, 8+ years of experience in developing flight control algorithms, and proficiency in C/C++ and Python. We offer a collaborative work environment focused on innovative solutions in automated aviation.

Qualifications

• 8+ years of hands-on experience developing and testing flight control algorithms.
• Experience with flight dynamics simulation and model identification.
• Current pilot or relevant certifications (preferred).

Responsibilities

• Establish autoflight and flight control system requirements.
• Interface with Pilots and Operations to develop flight test plans.
• Design and analyze flight control laws from concept to certification.
• Develop simulation models for flight control performance assessment.
• Test flight software in various environments.

Skills

C/C++ flight software development

Python data reduction & analysis

Flight dynamics simulation

Excellent communication skills

Design and analyze flight control laws

Education

MS in aerospace engineering or equivalent

PhD in aerospace engineering or robotics (preferred)

Tools

Monte Carlo simulation

Hardware-in-loop testing

Job description

Reliable Robotics Corporation in Mountain View, CA is seeking a Sr. Flight Control Law Engineer to join their Guidance, Navigation, and Control (GNC) Team. The role involves designing, implementing, integrating, and testing flight control laws for various operations. Candidates should have an MS in aerospace engineering or related field, 8+ years of experience in developing flight control algorithms, and proficiency in C/C++ and Python. We offer a collaborative work environment focused on innovative solutions in automated aviation.