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Senior UAV Control Systems Engineer

Open 43d

Key Responsibilities

  • Design, implement, and tune control algorithms for autonomous UAV operations in both multicopter and fixed-wing modes.
  • Develop and maintain SITL/HITL test environments using PX4, ROS2, and Gazebo to simulate real-world flight conditions and edge cases.
  • Integrate and configure flight controllers across a range of airframes, including VTOLs and hybrid platforms.
  • Contribute to the development of vision-based detect-and-avoid systems for autonomous navigation in GPS-denied or cluttered environments.
  • Analyze flight logs and onboard data to debug and optimize flight performance and reliability.
  • Collaborate cross-functionally with hardware, perception, and software teams to deliver robust, real-world-ready autonomy.

Required Qualifications

  • M.S. in Controls Engineering (or similar) or equivalent practical experience
  • 3-6+ years of experience in UAV development with a focus on autonomy and control systems.
  • Technical knowledge of fault-tolerance in flight control systems, navigation systems, and contingency management
  • Strong experience with PX4 flight stack, MAVLink protocol, and flight controller integration.
  • Proficient in ROS2, C++, Python, and simulation tools such as Gazebo.
  • Experience with matlab/simulink -> code generation pipeline
  • Demonstrated expertise in tuning control loops (attitude, position, rate) and implementing onboard autonomy.
  • Familiarity with aircraft dynamics, stability and control fundamentals

Preferred Qualifications

  • Experience working with both multicopter (MC) and fixed-wing (FW) platforms, including hybrid VTOL systems.
  • Familiarity with tailsitter VTOLs, transition dynamics, and tuning for mixed flight modes.
  • Hands-on experience with NVIDIA Jetson or similar onboard compute platforms for real-time vision.
  • Knowledge of SLAM, optical flow, or visual-inertial odometry for navigation.
  • Understanding of regulatory constraints for autonomous and BVLOS UAV operations.
  • Familiarity with simulation methods, particularly medium to large scale monte carlo testing

What We Offer

  • A collaborative, technically deep team passionate about autonomous aviation.
  • Opportunities to work at the edge of UAV technology, from R&D to real-world deployment.
  • Flexible remote work options, competitive compensation, and equity participation.

See also

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