As the Robotics Engineer – UAV Systems, you will take part in the development of robotic software systems with a focus on PX4 integration and ROS2-based architectures. You will be responsible for enabling autonomous navigation, control, and mission execution for our UAV platforms. This role demands hands-on system design, sensor fusion, and modular development for field-ready deployment.
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Architect and develop robotic software using ROS2 for UAV control, perception, and planning.
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Integrate PX4 autopilot with ROS2 nodes for autonomous navigation and telemetry handling.
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Develop sensor interfaces and fusion algorithms for GNSS, IMU, LiDAR, cameras, and other UAV-mounted sensors.
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Create reusable, real-time, and scalable software modules for guidance and control.
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Support simulation and validation using tools such as Gazebo, PX4 SITL, and RViz.
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Implement and tune UAV control loops and mission logic.
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Collaborate with avionics and AI teams to integrate perception and mission-planning pipelines.
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Ensure system robustness and maintainability through testing, version control, and documentation.
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Interface with field teams for system integration, flight testing, and troubleshooting.
Bachelor’s or master's degree in Robotics, Aerospace, Electronics, Computer Engineering, or related disciplines.
2-4 years of experience in robotics system development with hands-on ROS2 and PX4 experience.
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Deep expertise in ROS2, including DDS configuration, lifecycle nodes, and real-time integration.
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Strong working knowledge of PX4 autopilot and MAVLink protocol.
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Proficiency in C++ and Python in a Linux-based development environment.
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Hands-on experience in integrating and fusing data from sensors like GPS, IMU, LiDAR, and cameras.
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Good understanding of robotics control systems, navigation algorithms, and UAV kinematics.
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Experience with simulation and visualization tools like Gazebo, RViz, and PX4 SITL.
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Familiarity with build tools such as colcon, CMake, and version control systems (Git).
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Experience with real-time systems, embedded computing, and performance optimization.
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Experience with AI/ML integration into robotic systems (object detection, adaptive control) is a strong plus.
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Technically hands-on with a passion for UAVs and robotic systems.
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Curious, driven, and able to take ownership of critical technical components.
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Comfortable working in a fast-paced, R&D-heavy startup environment.
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Team player with strong communication and collaborative problem-solving skills.
This is a full-time position based in Bangalore. May travel to test sites and integration facilities.
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Competitive salary based on experience and qualifications.
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Health insurance.
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Paid leave and holidays.
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Opportunities for technical leadership and project ownership.
