Senior Autonomous Systems / Flight Software Engineer (In office)

Location: R&D; Center & Robotics Lab (Full time, 100% In-Office)

Experience: 4–8 Years

Department: Unmanned Aerial Systems (UAS) Flight Control & Autonomy

About the Role:

We are seeking an expert Autonomous Flight Software Engineer to build the onboard intelligence and navigation algorithms that power our next-generation enterprise drone fleets. In this hands-on, in office role, you will work directly inside our hardware robotics lab and engineering headquarters. You will bridge low-level sensor integration with high-level path planning, enabling uncrewed aerial vehicles (UAVs) to execute complex, GPS-denied, and fully autonomous missions for industrial inspection and logistics.

Key Responsibilities & Detailed Breakdown:1. Flight Control & Guidance Algorithm Development
Design, implement, and test advanced guidance, navigation, and control (GNC) algorithms for fixed-wing and multi-rotor UAV platforms.
Integrate and tune open-source flight controller stacks (such as PX4 or ArduPilot)



with custom hardware payloads and companion computers (e.g., NVIDIA Jetson).
Develop real-time state estimation frameworks using sensor fusion techniques (Extended Kalman Filters combining IMU, GPS, LiDAR, and optical flow cameras).
Autonomous Navigation & Computer Vision Integration
Build collision-avoidance, obstacle-detection, and real-time path-replanning algorithms using computer vision and point-cloud data (OpenCV, PCL, ROS/ROS2).
Program autonomous mapping, waypoint navigation, and target-tracking workflows designed for BVLOS (Beyond Visual Line of Sight) operations.
Optimize edge-AI inference pipelines running on drone companion boards to process imagery or telemetry locally in real-time.
Hardware-in-the-Loop (HIL) & Lab Testing
Conduct rigorous Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) simulation tests using tools like Gazebo or AirSim to validate flight safety before p

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