
ROS 2 Robotics Engineer
1 day ago
ROS 2 Robotics Engineer (Drone Domain)
We at (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.
Number of Positions: 01 required.
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 Types: Full-time, Permanent
Pay: ₹668, ₹914,748.00 per year
Benefits:
- Health insurance
- Leave encashment
- Paid time off
- Provident Fund
Work Location: In person
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