Join Reliable Robotics as a Flight Navigation Intern to support autonomous flight systems and enhance aviation safety.
Posted by employer 17 hours ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
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Not disclosed in this posting: compensation, years of experience, work arrangement.
Joblaze summary
The Flight Navigation Intern at Reliable Robotics will engage in the design, implementation, and testing of navigation flight software, contributing to the development of autonomous flight systems. Key skills include proficiency in C/C++ and Python, along with a solid grasp of engineering fundamentals such as numerical methods and state estimation. This role is ideal for juniors or seniors in aerospace or electrical engineering programs, particularly those with experience in sensor fusion or GNSS navigation. The intern will collaborate closely with seasoned engineers in a mission-driven environment focused on enhancing aviation safety.
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As a Navigation intern at Reliable Robotics, you will work with a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars to support our autonomous flight systems. Reliable Robotics has year-round internship opportunities for students pursuing an undergraduate or graduate degree in aerospace engineering, electrical engineering, or a similar field of study. Successful candidates will work alongside senior engineers to design, implement, and test navigation systems.
Design, implement and test navigation flight software
Improve simulation sensor models for evaluation of the navigation system
Build infrastructure for automated simulation and hardware-in-the-loop testing of navigation sensors and algorithms
Integrate and verify navigation system features in software-in-the-loop and hardware-in-the-loop test environments.
Develop flight test plans and conduct post-test data review.
Currently enrolled as a junior or senior in an undergraduate program in aerospace engineering, electrical engineering, or equivalent practical experience
A solid understanding of fundamentals -- engineering math, numerical methods, and state estimation
Proficient in any of C/C++ and Python
Proactive and motivated to tackle hard problems
Excellent written and verbal communication skills
Currently enrolled in a graduate program in aerospace engineering, electrical engineering, or similar advanced degree
Experience in one or more of the following areas: sensor fusion and Kalman filtering, GNSS navigation, inertial navigation
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