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Autonomy & Controls Lead

Job in Northern, Floyd County, Kentucky, USA
Listing for: AIRO Group
Full Time position
Listed on 2026-09-18
Job specializations:
  • Software Development
    Robotics, Embedded Systems/ Firmware/ IoT, AI Engineer (Applied/Software), Embedded Software Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Location: Northern

At AIRO, we bring together aircraft, autonomy, avionics, and mission services into one integrated platform designed for the environments where failure is not an option. Our technology supports contested logistics, tactical and long-range ISTAR, and operations that demand precision under pressure, so the people who depend on it can get where they need to be when it matters most. Here, you will work alongside innovators, engineers, operators, and industry leaders who share a passion for solving hard problems and building what comes next in aerospace and defense.

Join us and be part of something extraordinary.

Position Overview:

Airo is seeking a visionary, hands-on Autonomy and Controls Engineering Lead to direct the development of next-generation intelligent flight software, guidance architectures, and precision stabilization algorithms for our advanced UAS platforms. In this critical technical leadership role, you will bridge modern control theory and embedded hardware execution to deliver safe, reliable, and high-performance autonomous flight in demanding operational environments. You will take end-to-end ownership of core flight software, including state estimation, trajectory planning, and low-level stabilization loops while guiding a fast-moving team of robotics and firmware engineers from simulation through real-world flight testing.

Working at the intersection of aerospace dynamics and robotics, your primary focus will be delivering robust flight controller stability, comprehensive fail-safes, and production-grade GPS-denied navigation firmware.

Key Responsibilities:
  • Architect & Tune Flight Control Systems: Design, implement, and tune classical and non-linear control algorithms, trajectory optimization routines, and dynamic 6-DOF stabilization loops for novel UAS platforms.
  • Deliver GPS-Denied Navigation: Build and optimize multi-sensor fusion pipelines incorporating Extended Kalman Filters (EKF), factor graphs, and Visual-Inertial Odometry (VIO) to achieve resilient navigation in contested or GPS-denied environments.
  • Integrate & Customize Flight Stacks: Direct the architectural customization, integration, and deployment of open and proprietary flight stacks, including PX4, Ardu Pilot, ROS, and ROS 2.
  • Lead SIL / HIL Simulation Campaigns: Own Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) simulation infrastructure to validate flight critical software and fail-safes prior to live flight operations.
  • Define Hardware-Software Interfaces: Collaborate across disciplines to specify compute, avionics, sensor, and actuator requirements, ensuring seamless embedded integration across the airframe.
  • Technical Leadership & Team Scaling: Mentor, lead, and scale a high-performing controls and autonomy engineering team while enforcing robust software architecture and code review standards.
Qualifications:
  • BS, MS in Robotics, Aerospace Engineering, Computer Science, or a related discipline paired with 5+ years of hands-on experience building and shipping real-time control or autonomy software for physical robotic or aerospace systems.
  • Expert proficiency in C/C++ and Python, with demonstrated expertise developing within embedded real-time flight environments.
  • Deep theoretical mastery of control theory, including linear/non-linear control design, state estimation, dynamic programming, and 6-DOF aircraft/rotorcraft dynamics modeling.
  • Proven track record with open-source autopilots, specifically building, modifying, and tuning PX4 or Ardu Pilot flight controllers.
  • Hands-on expertise in sensor fusion pipelines, developing and deploying robust EKF-based state estimation algorithms.
  • Extensive experience with simulation frameworks, including SIL and HIL validation workflows for safety-critical autonomous…
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