Senior UAV Control Systems Engineer
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Before you apply
LocationBrooklyn, United States
Work modehybrid
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentEngineering
EquityIncluded
Company size4+ people
PostedJun 18, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Jun 18, 2025
At a glanceSummarised by Seekless from the posting.
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
Skills
PX4
MAVLink
ROS2
C++
Python
Gazebo
Matlab
Simulink
NVIDIA Jetson
SLAM
optical flow
visual-inertial odometry
Benefits
Remote work
Equity
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.
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Integrate and configure flight controllers across a range of airframes, including VTOLs and hybrid platforms.
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Contribute to the development of vision-based detect-and-avoid systems for autonomous navigation in GPS-denied or cluttered environments.
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Analyze flight logs and onboard data to debug and optimize flight performance and reliability.
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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.