Build, deploy, and launch real autonomous drone systems.
If you love drones, Linux, and making complex systems actually work in the real world - this is your chance to do it professionally.
At SE3 Labs, you wonât just simulate autonomy. Youâll help bring it into the air.
SE3 Labs builds Spatial AI by combining 3D computer vision with large language models (LLMs). Our mission is to enable machines to understand and operate in physical space â powering the next generation of autonomous systems across infrastructure, robotics, and defense.
To make that vision real, weâre developing high-performance UAV platforms that integrate cutting-edge AI compute, sensors, and communication systems.
And thatâs where you come in.
As a Systems Software Integration Intern youâll sit at the intersection of AI, embedded systems, and flight hardware.
Your mission:
Make sure our autonomous drone payloads are fully operational: from first flash to first flight.
You will work hands-on with Nvidia platforms, onboard compute stacks, radios, and deployment pipelines. Your contribution directly impacts how fast and how reliably we can test and deploy next-generation autonomous systems.
This is not a âshadow someone and watchâ internship. You will own systems.
Nvidia Jetson Systems: Flash, configure, and optimize Jetson devices (L4T / Ubuntu) for autonomous deployment
Software Deployment: Prepare and validate payload software stacks for real-world UAV integration
Datalink & Telemetry: Set up, configure, and test communication systems for stable drone operation
Integration Workflows: Improve reproducibility and automation in our deployment and testing pipelines
Advanced Topics (based on skills): ROS2 integration, Docker environments, networking optimization, performance debugging, or systems automation
Start date: As soon as possible
Youâll work closely with AI, embedded, and flight teams to ensure everything works seamlessly; not just in theory, but in the field.
You have hands-on experience building, tuning, or operating drones (competition, racing, research projects, or professional work)
Youâre confident working with Python3 and Linux
You understand computer networking basics and feel comfortable configuring systems
You enjoy debugging and making complex systems reliable
You work independently, take ownership, and donât stop at âit compilesâ - you make it robust
Youâre fluent in English; German is a plus
Your eligible to work on defence related projects
Experience with Ubuntu, Nvidia L4T, ROS2, Docker
Strong scripting skills (Python, bash)
Git proficiency
Basic C++ knowledge
Experience with embedded systems or robotics stacks
Intro Call (20 min): Letâs get to know each other (conducted by Michael, our Chief of Staff)
LeetCode Interview (flexible, ~60 minutes): It will help us understand your approach to problem-solving and coding
Technical Interview (~60 min): (with Marvin, CV & AI Engineer)
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