UAV Robotics & AI Engineer

Yali Aerospace; Thanjavur; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Yali Aerospace is seeking an UAV Robotics & AI Engineer to develop autonomous systems for VTOL-Fixed Wing UAVs. You will work across robotics, AI/ML, computer vision, sensor integration, and real-time decision-making with cross-functional teams.

The role emphasizes ROS/ROS2, PX4, ArduPilot, and simulation-based validation, with emphasis on edge computing and real-time processing for UAV autonomy.

Qualifications

• Bachelor's or Master’s in a robotics-related field with strong fundamentals.
• 3+ years of hands-on robotics, AI/ML, autonomous systems or UAV work.
• Proficient in Python and C/C++ with real-time constraints.
• Experience with ROS/ROS2 and UAV platforms a must.

Responsibilities

• Develop AI/ML and robotics solutions for autonomous UAV operations.
• Create navigation, path planning, obstacle avoidance and decision algorithms.
• Implement computer vision for detection, tracking and situational awareness.
• Integrate data from cameras, LiDAR, IMU, GPS and other sensors.
• Develop sensor fusion for localization and perception.
• Work with ROS/ROS2, PX4, ArduPilot and simulation environments.
• Test AI-based navigation, target detection, and mission execution.
• Optimize real-time onboard processing and edge computing.
• Perform UAV simulation, HIL/SIL and flight testing.

Skills

Python

C/C++

AI/ML

Computer Vision

ROS/ROS2

PX4

ArduPilot

SLAM

Sensor Fusion

Education

Bachelor's/Master's degree in Robotics, Mechatronics, Aerospace, Electronics, CS, AI or related field

Tools

ROS/ROS2

PX4

ArduPilot

OpenCV

TensorFlow

PyTorch

Job description

We are looking for a skilled UAV Robotics & AI Engineer to develop intelligent autonomous systems for VTOL-Fixed Wing UAVs. The role involves robotics, AI/ML, computer vision, autonomous navigation, sensor integration, and real-time decision-making for UAV applications. The candidate will work closely with the Flight Controls, Embedded Systems, Software, Electronics, and Aerodynamics teams to develop and validate autonomous UAV capabilities.

Key Responsibilities

• Develop and integrate AI/ML and robotics solutions for autonomous UAV operations.
• Develop autonomous navigation, path planning, obstacle avoidance, and decision-making algorithms.
• Implement computer vision solutions for object detection, tracking, recognition, and situational awareness.
• Integrate and process data from cameras, LiDAR, IMU, GPS, and other UAV sensors.
• Develop sensor fusion algorithms for accurate UAV localization and perception.
• Work with ROS/ROS2, PX4, ArduPilot, and simulation environments for UAV autonomy development.
• Develop and test AI-based solutions for navigation, target detection, tracking, and mission execution.
• Implement and optimize algorithms for real-time onboard processing and edge computing.
• Perform UAV simulation, hardware-in-the-loop (HIL), software-in-the-loop (SIL), and flight testing.
• Debug, troubleshoot, and optimize autonomous systems based on simulation and flight-test results.
• Work closely with Embedded, Flight Control, Electronics, and Software teams for system integration.
• Develop technical documentation, test procedures, and validation reports.
• Stay updated with emerging technologies in UAV autonomy, robotics, AI, computer vision, and machine learning.

Requirements

• Bachelor's/Master's degree in Robotics, Mechatronics, Aerospace, Electronics, Computer Science, Artificial Intelligence, or related field.
• 3+ years of relevant experience in robotics, AI/ML, autonomous systems, computer vision, or UAV development.
• Strong programming skills in Python and C/C++.
• Strong understanding of AI/ML, computer vision, robotics, and autonomous navigation.
• Hands‑on experience with ROS/ROS2, PX4, ArduPilot, or similar robotics/UAV platforms.
• Experience with OpenCV, TensorFlow, PyTorch, or similar AI/ML frameworks.
• Understanding of sensor fusion, SLAM, localization, path planning, and obstacle avoidance.
• Experience with LiDAR, cameras, GPS, IMU, and other perception sensors.
• Knowledge of UAV communication protocols and real-time systems is preferred.
• Hands‑on experience with simulation tools such as Gazebo, AirSim, MATLAB/Simulink, or similar platforms is preferred.
• Strong problem-solving, debugging, and system integration skills.
• Experience in UAV, aerospace, robotics, autonomous vehicles, or defence technology is preferred.