Senior Flight Navigation Engineer - GNSS & State Estimation

Reliable Robotics Corporation; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Reliable Robotics Corporation is seeking a Senior Flight Navigation Engineer to join the Guidance, Navigation and Control Team. You will contribute to navigation system design, implementation, and testing to enable unmanned aircraft integration into the National Airspace System.

Ideal candidates hold an MS in a related field, 8+ years of navigation experience, and proficiency in C/C++ flight software and Python data analysis.

Qualifications

• MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree.
• Technical expertise in Kalman filtering, GNSS navigation, inertial navigation, or related technologies.
• 8+ years of experience developing and testing navigation algorithms.
• Experience with C/C++ flight software and Python data analysis.
• Excellent written and verbal communication skills.

Responsibilities

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

Skills

Kalman filtering

GNSS navigation

Inertial navigation

State estimation

C/C++ flight software

Python data reduction

Communication skills

Education

MS in aerospace engineering

MS in electrical engineering

MS in computer science

PhD preferred

Tools

C/C++

Python

Job description

Reliable Robotics Corporation is seeking a Senior Flight Navigation Engineer to join the Guidance, Navigation and Control Team. You will contribute to navigation system design, implementation, and testing to enable unmanned aircraft integration into the National Airspace System.

Ideal candidates hold an MS in a related field, 8+ years of navigation experience, and proficiency in C/C++ flight software and Python data analysis.