Lead Autonomy & Flight Control Systems

AIRO Group Holdings, Inc.; Phoenix (AZ); On-site; USD 150,000 - 190,000; Full time

Job summary

AIRO Group Holdings, Inc. seeks a visionary Autonomy and Controls Lead to direct next‑gen flight software, guidance architectures, and stabilization algorithms for advanced UAS.

You will own core flight software, from state estimation to trajectory planning, while guiding a fast-moving robotics and firmware team through simulation to real-world flight tests. You will bridge control theory and embedded execution to achieve robust stability, fail-safes, and GPS-denied navigation in demanding

Qualifications

• BS or MS in Robotics, Aerospace, CS or related field with 5+ years real-time control/autonomy software experience.
• Expert in C/C++ and Python in embedded real-time flight environments.
• Strong mastery of control theory, state estimation, dynamic programming, and 6-DOF dynamics.
• Proven track record with PX4 or ArduPilot autopilots.
• Experience with sensor fusion and EKF-based state estimation.
• Experience with SIL/HIL validation workflows for safety-critical systems.
• Experience integrating autonomous systems into operational or simulation environments.

Responsibilities

• Architect, implement, and tune flight control systems and 6-DOF stabilization loops.
• Develop GPS-denied navigation using EKF, VIO, and multi-sensor fusion.
• Lead integration of PX4/ArduPilot, ROS, and ROS 2 flight stacks.
• Own SIL/HIL simulation campaigns and pre-flight validation.
• Define hardware-software interfaces for avionics and sensors.
• Mentor and scale a controls/autonomy engineering team.

Skills

Autonomy

Control systems

C/C++

Python

Embedded

PX4

ArduPilot

ROS/ROS2

EKF

SIL/HIL

Sensor fusion

GPS-denied nav

Education

BS in Robotics/AE/CS

MS in Robotics/AE/CS

Tools

PX4

ArduPilot

ROS

ROS 2

DDS

Embedded Linux

Job description

AIRO Group Holdings, Inc. seeks a visionary Autonomy and Controls Lead to direct next‑gen flight software, guidance architectures, and stabilization algorithms for advanced UAS.

You will own core flight software, from state estimation to trajectory planning, while guiding a fast-moving robotics and firmware team through simulation to real-world flight tests. You will bridge control theory and embedded execution to achieve robust stability, fail-safes, and GPS-denied navigation in demanding