UAV Control Expert

Position Overview

We're seeking a UAV Control Expert who combines reinforcement learning with classical control methods to build flight control systems for interceptor drones. You'll develop RL-based control policies, tune PID controllers in the field, and bridge the gap between simulation and real-world flight. This is a hands-on role where your models fly on real drones.

Key Responsibilities

• Develop RL-based control policies for interceptor drone maneuvers
• Train RL agents for hold-in-place and target pursuit tasks
• Implement sim-to-real transfer pipelines with domain randomization
• Tune PID controllers for drone stability in the field
• Design hybrid control architectures combining RL with classical PID
• Iterate and improve control models based on real flight test data
• Set up and maintain simulation environments for RL training

Requirements & Qualifications

Essential:

• Deep experience or education in control engineering
• Hands-on experience with reinforcement learning for control tasks
• PID tuning experience, ideally on UAVs
• Proficiency in Python and PyTorch
• Understanding of drone dynamics and flight controllers

Preferred:

• Experience with sim-to-real transfer and domain randomization
• Familiarity with ArduPilot or Betaflight firmware
• PhD (or candidate) in control engineering, RL, or robotics
• Experience with simulation environments (Isaac Gym, Gymnasium, etc.)
• Comfortable working in the field with real drones

Technologies & Skills

Work Environment

• Tiny, agile startup: your ideas and work have direct impact
• Lots of freedom to explore and propose solutions
• Challenging, meaningful tasks at the frontier of AI and robotics
• If you solve the task, your solution will be deployed on real drones
• See your work make a real-world difference