Navigation and Vision-based Image Processing Intern

About Odys

Our mission at Odys is simple - we build safe, sustainable aircraft to cut travel time in half on the world's busiest corridors. Our flagship aircraft <u>Alta enables travelers to skip the big-airport hassle</u> by using city helipads and local airports to connect cities less than 1,000 miles apart (approx 40% of flights). And on average cut CO2 by 76% on tens of billions of flight miles globally.

To get there, we start with our UAV called Laila for commercial logistics, medical transport, humanitarian aid, disaster relief, and defense missions. We’re deploying aircraft with launch partners (<u>Fiji Airways</u>, <u>Honeywell</u>, <u>Aramex</u>, US Navy) beginning in late 2025 and already have firm orders for aircraft under contract.

We’re a team of expert engineers from deep tech and aerospace that focus on fast iterations loops (<u>completed transition flight</u> faster than our peers) combined with mastery of the aircraft certification process. Previously, our team developed custom drones, brought multiple automotive platforms into production, and electrified transportation vehicles that magnetically levitate, that roll, that fly. Together, we’ve been learning, developing, building, testing, and preparing for this challenge our entire lives.

About The Role

The Navigation and Vision-based Image Processing Intern will play a key role in the development of enhanced navigation systems for unmanned aircraft systems (UAS) and future passenger aircraft. This internship focuses on leveraging various visual sensor information to enable precise navigation over longer distances without relying solely on GPS. The intern will be responsible for contributing to a proof of concept project aimed at advancing navigation technology in aviation.

Responsibilities

• Develop algorithms and models for navigation using vision-based image processing techniques.

• Conduct research on AI, machine learning, video processing, and data science methodologies relevant to the project.

• Collaborate with the team to integrate developed models into the existing hardware platform.

• Test and evaluate the performance of the navigation system in simulated and real-world environments.

• Document findings, methodologies, and results for future reference and knowledge sharing.

Requirements

• Currently pursuing a Master's degree in a relevant field such as Aerospace Engineering, Computer Science, Electrical Engineering, or a related field.

• Proficiency in AI, machine learning, video processing, and data science techniques.

• Experience with model development and implementation.

• Strong programming skills, particularly in languages such as Python, C/C++, or MATLAB.

• Knowledge of visual sensor technologies and their application in navigation systems.

• Excellent problem-solving skills and ability to work independently.

• Effective communication skills and ability to collaborate in a team environment.

Preferred Qualifications

• Previous experience in navigation systems development or related aerospace projects.

• Familiarity with UAV/UAS technologies and regulations.

• Experience with hardware-in-the-loop (HIL) testing and simulation.

• Knowledge of computer vision algorithms and libraries (e.g. OpenCV).

• Familiarity with aviation standards and protocols.