Robotics Engineering Co-op
Core
Develop and implement computer vision-based localization, SLAM, or deep learning models for real-time navigation of UAS systems in GPS-degraded environments.
Role type
Robotics Engineering Co-op (Undergraduate/Graduate)
Builds
Autonomous navigation and sensor fusion algorithms for UAS platforms
Domain
Defense & Aerospace / Robotics & Autonomous Systems
Deliverable
production ML models
Required skills
C/C++, Python, Rust, ROS/ROS2, Computer vision, Deep learning, Control systems, Sensor fusion, Embedded systems, Simulation
Preferred skills
Experience with Jetson, Raspberry Pi, FPGA, or microcontrollers
Technologies
OpenCV, PyTorch, TensorFlow, Python, C++, Rust, ROS/ROS2
Responsibilities
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.
Seniority
Co-op (Student)