About the job
Join Us in Redefining Drone Technology
At SE3 Labs, we are pioneering the future of Spatial AI by merging cutting-edge 3D computer vision with advanced language models, empowering drones to comprehend and navigate the physical world effectively.
This groundbreaking technology is set to revolutionize autonomous flight, enhancing operations in construction, infrastructure inspection, and defense sectors.
We are on a mission to elevate Spatial AI to new heights with high-performance UAVs capable of independent perception, decision-making, and flight.
We are seeking a Drone Software Engineer who is eager to innovate and elevate our flight systems, autonomy, and AI integration.
About Our Team
Our dynamic team consists of innovators with extensive expertise in computer vision, robotics, and autonomy. Our founders have collaborated with Elon Musk at Tesla and have led engineering at Nvidia, Bosch, and Artisense.
Daniel, our co-founder, currently serves as the President of the European Computer Vision Association. We thrive in a fast-paced environment, staying close to hardware, and developing technology that pushes the boundaries of what is achievable in the physical realm.
Our Progress
We are engaged with defense primes and European defense initiatives, including projects supported by the German Ministry of Defence.
Our company is backed by leading European VCs, unicorn founders, and top-tier angel investors.
We are currently expanding our reach internationally.
Your Role
You will be responsible for all aspects of flight dynamics, from low-level control loops to high-level AI integration.
Collaborate closely with Lukas (CEO) and Simon (CTO) to enhance our drones' stability and intelligence.
Rapid prototyping, tuning PIDs, and deploying systems that integrate Spatial AI into flight will be key parts of your role.
Responsibilities
Develop and refine real-time flight control and autonomous systems.
Integrate our AI framework with ArduPilot and on-board computing platforms.
Combine data from cameras, IMUs, and GPS to enhance spatial awareness.
Challenge the boundaries of control theory and sensor fusion in real-world applications.
Qualifications
A robust background in mechatronics, robotics, or electrical/mechanical engineering.
Familiarity with ArduPilot, PX4, MAVLink, MAVROS, or comparable frameworks.

