AI/Robotics Planning Engineer (Internship)

About the Role:

We are looking for a driven and capable AI Planning Engineering Intern to help us build intelligent planning and control capabilities for autonomous drones. You’ll work directly with our engineering team to design and test real-time decision-making systems integrated with the SKEYEBOTS Autopilot and visualized via Qt-based user interfaces. This is a hands-on role involving real-world challenges in autonomy, robotics, and mission planning, with opportunities to contribute to meaningful field applications in defense, disaster response, or precision agriculture.

What You’ll Do:

• Implement and test planning algorithms (e.g., A*, RRT, finite state machines, behavior trees) in C++.

• Integrate planning modules with SkeyeBots flight control using uORB/MAVLink.

• Develop or extend Qt-based desktop interfaces for mission planning and visualization.

• Run SITL (Software-in-the-Loop) simulations to test autonomous behaviors.

• Contribute to performance profiling, system debugging, and test automation.

Minimum Qualifications:

• Strong C++ programming experience (C++11 or later).

• Familiarity with common planning or search algorithms.

• Experience with Qt for GUI development or willingness to learn quickly.

• Basic understanding of SkeyeBots or any other robotics middleware (e.g., ROS).

• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Prior experience working with the SkeyeBots Autopilot (flight stack, module dev, SITL).

• Exposure to MAVLink protocol or DDS-based systems.

• Familiarity with GIS tools or geospatial libraries (e.g., PROJ, GEOS, GDAL).

• Projects involving drones, autonomy, or robotics.

What You’ll Gain:

• Ability to collaborate and learn from Industry Experts and Subject Matter Experts based in Silicon Valley (USA), and India.

• Competitive pay and other benefits.

• Experience building real-world autonomous systems with industry tools.

• Mentorship from engineers working on cutting-edge drone platforms.

• Opportunity to transition to a full-time role based on performance.

• Contribution to field-deployable technologies with high societal impact.