Avol
Senior UAV Control Systems Engineer
Avol - New York, New York, us, 10261
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Senior UAV Control Systems Engineer
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Senior UAV Control Systems Engineer
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Avol 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. 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Avol by 2x Get notified about new Senior Control System Engineer jobs in
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Senior UAV Control Systems Engineer
role at
Avol Join to apply for the
Senior UAV Control Systems Engineer
role at
Avol 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. 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Avol by 2x Get notified about new Senior Control System Engineer jobs in
Brooklyn, NY . QA Lead and Senior Test Automation Engineer - C13 - NY
Hillside, NJ $100,000.00-$125,000.00 3 days ago Kearny, NJ $95,000.00-$160,000.00 1 month ago New York, NY $65,000.00-$75,000.00 1 month ago Jersey City, NJ $137,000.00-$170,000.00 1 day ago Brooklyn, NY $55,666.00-$777,777.00 1 month ago New York City Metropolitan Area 7 hours ago New York, NY $120,000.00-$170,000.00 1 week ago Jersey City, NJ $100,500.00-$121,500.00 22 minutes ago Senior Substation Protection and Controls Engineer
New York, NY $110,000.00-$140,000.00 2 weeks ago Kenilworth, NJ $100,000.00-$125,000.00 3 weeks ago New York, NY $49,100.00-$106,000.00 2 weeks ago New York City Metropolitan Area 1 week ago Wayne, NJ $100,500.00-$121,500.00 22 minutes ago Jersey City, NJ $49,100.00-$106,000.00 2 weeks ago Clifton, NJ $100,500.00-$121,500.00 22 minutes ago Senior Software Engineer, Embedded + Control Systems
New York, NY $125,000.00-$165,000.00 1 week ago Newark, NJ $49,100.00-$106,000.00 2 weeks ago New York, NY $95,000.00-$140,000.00 3 months ago Sr Lead Software Engineer - Automation Engineering
New York, NY $85,000.00-$110,000.00 2 days ago Information Technology - Automation Engineer II - Jersey City, NJ (Hybrid)
New York, NY $79,000.00-$135,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr