Senior UAV Control Systems Engineer

United States·Brooklynfull-timesenior

EngineeringControl Systems Engineer

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Quick Summary

Overview

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,

Technical Tools

EngineeringControl Systems Engineer

Responsibilities

~1 min read

→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.

Requirements

~1 min read

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

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