Autonomous Flight Navigation Engineer

Reliable Robotics; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Reliable Robotics in Mountain View, California, is seeking a Flight Navigation Engineer to join the Guidance, Navigation and Control team. You will design, implement, and test navigation algorithms enabling safe integration of uncrewed aircraft into the national airspace.

Applicants should hold a BS (MS preferred) in aerospace, electrical, or computer science, and have 3+ years of experience with Kalman filtering, GNSS or inertial navigation, plus C/C++ flight software and Python data analysis.

Qualifications

• BS in aerospace engineering, electrical engineering, computer science, or similar advanced degree
• Technical expertise in Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies
• 3+ years of professional experience developing and testing navigation algorithms
• Professional experience with developing C/C++ flight software and Python data reduction & analysis

Responsibilities

• Define navigation system requirements in collaboration with internal and external stakeholders
• Analyze, source, and select sensor solutions for use in the navigation system
• Develop sensor models in simulation for evaluation of the navigation system
• Implement state estimation algorithms in flight software
• Establish test methods to ensure compliance with requirements, best practices, and regulatory standards
• Evaluate the navigation system via simulation, hardware-in-loop, and flight test cases

Skills

Kalman filtering

GNSS navigation

Inertial navigation

GPS-denied navigation

Education

BS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

Tools

C/C++ flight software

Python data reduction & analysis

Job description

Reliable Robotics in Mountain View, California, is seeking a Flight Navigation Engineer to join the Guidance, Navigation and Control team. You will design, implement, and test navigation algorithms enabling safe integration of uncrewed aircraft into the national airspace.

Applicants should hold a BS (MS preferred) in aerospace, electrical, or computer science, and have 3+ years of experience with Kalman filtering, GNSS or inertial navigation, plus C/C++ flight software and Python data analysis.