We’re hiring a UAV Control Engineer to lead the design, development, and real-world deployment of advanced flight control systems. You’ll work at the convergence of control theory, embedded systems, and field robotics, enabling ultra-reliable autonomy in dynamic, GPS-denied environments.

You’ll own everything from rate control to system-level robustness - building the core flight stack and pushing the boundaries of what autonomous UAVs can do in contested and extreme conditions.

This is a deeply technical, hands-on role: you’ll tune control loops, write embedded C++, and test everything in simulation and on real vehicles, alongside hardware and autonomy teams.

Tasks

Design, implement, and tune robust flight control systems (rate, attitude, velocity, position loops)
Work directly with PX4, ArduPilot, or custom real-time control stacks
Develop failsafe systems, recovery strategies, and redundancy for high-stakes missions
Integrate and configure MAVLink, telemetry, and GCS communications (QGC, Mission Planner)
Apply advanced control methods — PID, LQR, MPC, and adaptive control — to real UAV platforms
Optimize system stability across flight modes, payloads, and environmental disturbances
Participate in hands-on flight testing, vehicle bring-up, system tuning, and rapid iteration
Collaborate closely with AI, perception, and mechatronics teams for full-stack autonomy

Requirements

4–8+ years of hands-on experience developing and tuning UAV flight control systems
Deep understanding of flight dynamics and control theory (fixed-wing and/or multirotor)
Strong experience with PX4, ArduPilot, or similar autopilot platforms
Proficiency in embedded C/C++ for control software development
Familiarity with MAVLink protocols and telemetry system integration
Demonstrated experience with UAV testing, tuning, and flight ops (lab and field)
Ability to design for fault tolerance, redundancy, and mission-critical reliability

Bonus Points For:

FPV pilot or UAV hobbyist with deep hands-on flight experience
Experience with software-in-the-loop (SIL) or hardware-in-the-loop (HIL) simulation
Knowledge of ESC/motor tuning, thrust modeling, or mechanical control integration
Exposure to adaptive control, learning-based control, or hybrid autonomy systems
Background in aerospace, defense, or other high-reliability robotics sectors

Benefits

Be part of a mission to reinvent autonomy for real-world impact
Build next-gen flight systems in a custom-built robotics lab (Berlin TXL)
Work with bleeding-edge tools and interdisciplinary experts
Competitive salary + meaningful equity
Full-time, on-site role with a focus on rapid iteration and deployment

You’re not just tuning parameters - you’re building systems that must work. You thrive in fast-moving environments where precision, reliability, and ingenuity are non-negotiable. Whether it’s debugging a motor fault at midnight or flight-testing an experimental control stack, you bring the drive to get autonomous systems off the ground - and keep them flying.