Robotics Engineering Co-Op

Work Arrangement

This is an onsite position.

Job Overview

The AEVEX Navigation and Autonomy Center (NAC) specializes in the development of advanced algorithms for autonomous systems, with expertise spanning navigation, autonomy, controls, sensor fusion and computer vision. We develop innovative solutions that integrate information from vision-based algorithms, inertial measurement units (IMUs), LiDAR, radar, and other sensors to provide accurate real-time state estimation, perception, planning, and control for autonomous platforms operating in complex, GPS-degraded, and GPS-denied environments.

We are seeking a highly motivated engineering student to join our team. As a co-op, you will have the opportunity to work on cutting-edge research and development in robotics, autonomous navigation, and sensor fusion. You will contribute to real-world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions.

Essential Functions

• Develop and implement computer vision-based localization, SLAM, or deep learning models for real-time navigation of UAS systems.
• Assist in integrating data from cameras, IMUs, GNSS, and alternative PNT sources for sensor fusion applications.
• Optimize and deploy navigation/autonomy algorithms for embedded systems, robotics platforms, or edge computing hardware.
• Perform simulation and validation of navigation algorithms using Python, C++, or Rust.
• Participate in flight test campaigns to validate software and algorithms on UAS.
• Work closely with senior engineers on research and prototyping efforts.
• Perform other duties as required.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications            

• Strong programming skills in C/C++, Python, or Rust.
• Experience with ROS/ROS2.
• Demonstrated project or professional experience with one or more of the following:
  • Computer vision and deep learning frameworks (OpenCV, PyTorch, TensorFlow).
  • Autonomy/planning algorithm development.