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Clera is seeking a Robotics Engineer to join its engineering and R&D team focused on autonomous drone systems. You will build and integrate drone-based robotics from prototype to field validation, supporting safe and reliable delivery operations.
You will design mechanisms, sensors, and payloads, develop navigation and control algorithms, and validate software with ROS/ROS 2 in simulation and real flight tests. Collaboration across mechanical, electronics and software teams is essential.
Join an engineering and R&D team as a Robotics Engineer focused on autonomous systems. You will build and integrate drone-based robotic systems from prototype through field validation, supporting safe and reliable delivery operations.
Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
Develop control, navigation, path-planning, and obstacle-avoidance solutions.
Program robotics software with ROS or ROS 2 and C++ or Python, and validate solutions in simulation.
Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
Build, troubleshoot, and field-test prototypes, analyzing flight logs and sensor data.
Collaborate with mechanical, electronics, and software teams on prototype development and deployment.
At least 2 years of hands-on experience in robotics, UAV systems, or autonomous systems.
Strong foundations in kinematics, dynamics, control theory, PID, and system integration.
Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
Knowledge of IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.
Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
Familiarity with CAN, UART, I2C, drone telemetry, simulation, field testing, and flight-log analysis.
Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field. Computer vision, machine learning, SLAM, Gazebo, Webots, CAD, or BVLOS experience is a plus.
Visa sponsorship is not available.