ROS 2 Robotics Engineer (Drone Domain)

We at Robu.in (Macfos Limited) are seeking a highly skilled ROS 2 Robotics Engineer with strong experience in drone system development and aerial robotics. The candidate will be responsible for developing, integrating, and optimizing flight-control software and autonomous navigation stacks using Robot Operating System 2 (ROS 2).
This role requires expertise in C++/Python, PX4 or ArduPilot integration, sensor fusion and real-time communication frameworks for aerial platforms.

Experience: 1- 3 years ROS 2 and drone software development.

Salary Range/CTC: ₹ 6,68,988/- to ₹ 9,14,748/- Per Annum; In Hand: Rs.50-K to Rs. 70-K Per Month.

• (Salary No Bar for the right Candidate- Salary Based on Interview, Experience, Skills & Last Drawn Salary).

Educational Qualification: Bachelors/Master’s Degree – Robotics, Aerospace, Electronics, or Computer Engineering.

Required Skills:

• Bachelor’s or Master’s degree in Robotics, Aerospace, Electronics, or Computer Engineering.
• 1 – 3 years of experience in ROS 2 and drone software development.
• Proficiency in C++ (14/17) and Python for real-time applications.
• Strong hands-on experience with PX4 / ArduPilot and MAVLink communication.
• Deep understanding of UAV dynamics, flight-control loops (PID, MPC), and navigation algorithms.
• Experience with sensor drivers and data fusion (IMU, GPS, LiDAR, vision sensors).
• Proficiency with Linux (Ubuntu), and version control (Git).
• Familiarity with RTOS concepts and real-time system debugging.

Gender: Male/Female (anyone can apply).

Key Responsibilities/Requirements:

• Design, develop, and maintain ROS 2 nodes and packages for autonomous drone operations.
• Integrate PX4 / ArduPilot flight controllers with ROS 2 using MAVROS / MAVLink / MicroRTPS bridges.
• Implement sensor fusion frameworks combining LiDAR, IMU, Barometer, GPS, and Cameras.
• Develop and tune autonomous flight, navigation, and obstacle-avoidance algorithms using ROS 2 (Nav2, MoveIt 2, SLAM toolboxes).
• Build and test simulation environments for UAVs in Gazebo / Ignition / AirSim with ROS 2 integration.
• Optimize firmware and middleware for real-time performance, latency, and power efficiency.
• Collaborate with embedded, hardware, and AI teams to ensure seamless integration between onboard compute and flight systems.
• Conduct flight tests, data logging, and performance analysis to validate algorithms and control behavior.

Preferred Qualifications:

• Experience in autonomous drone missions, swarm coordination, or BVLOS flight systems.
• Knowledge of computer vision and perception frameworks (OpenCV, YOLO, TensorRT, RTAB-Map).
• Exposure to AI-based flight path planning and obstacle-avoidance pipelines.
• Familiarity with Jetson, Raspberry Pi, or other onboard compute platforms.
• Knowledge of safety standards, redundancy systems and flight-data analysis tools.

Soft Skills Required:

• Strong analytical and debugging abilities.
• Excellent collaboration and communication skills.
• Self-motivated and passionate about aerial robotics and autonomous systems.
• Ability to work in fast-paced R&D environments with cross-disciplinary teams.

Job Benefits:

• Five days working.
• Two weekly off’s. (Sat-Sun Fixed Off’s)
• Flexible working hours.
• Health Insurance.
• Freedom to choose your carrier path.

Job Features