As a generalist engineering intern, you will work with and assist highly driven and experienced engineers to achieve ambitious goals. You may contribute across several of the following areas, depending on your strengths and the project needs:

• Prototype and test systems integrating software, electronics, mechanics, and drone hardware.
• Develop firmware and embedded software for microcontrollers and peripherals.
• Handle hardware tasks including soldering, wiring, debugging, and assembling test rigs.
• Design mechanical parts and enclosures using CAD and rapid prototyping tools.
• Build internal tools and full-stack applications using Python, TypeScript, or React.
• Evaluate CV/ML approaches for automation, mapping, and drone-related data processing.
• Contribute maintainable code to existing codebases and adapt open-source components.

We are looking for someone who is highly curious, self-driven, and comfortable working across disciplines.

You should be able to show that you have a:

• Proven track record of building substantial projects independently (hobby, professional, or open-source).
• Self-directed learner comfortable with technical ambiguity and complex debugging.
• Strong engineering judgment focused on reliability over simple demos.
• Proficiency in spoken and written English.
• Degree (in progress or completed) in Robotics, CS, Engineering, or equivalent practical experience.

The strongest candidates will have concrete examples of things they have personally built. We are especially interested in projects that went beyond coursework and involved solving real-world problems, your own or for others, and showed some sustained iteration on it.

You do not need experience in all of the areas below. A strong overlap with a few of them, plus high agency and strong learning ability, is more important.

Relevant experience could include:

• Firmware / embedded: C/C++, microcontrollers, protocols (CAN, UART, I2C, SPI), and embedded Linux.
• Robotics: PX4, ROS/ROS 2, autopilots, MAVLink, GNSS, and simulation.
• Hardware: Hands-on electronics, soldering, debugging, and test rig assembly.
• Mechanical: CAD design for mounts/enclosures and rapid prototyping (3D printing, CNC).
• Software: Python, C++, TypeScript, Git, and maintainable Linux development.
• Web: Full-stack tools using React, Node.js, and cloud APIs.
• CV/ML: PyTorch, OpenCV, object detection, and edge deployment.
• Data: Log analysis, automation scripts, and large dataset processing.