A complete application in a minute
Tailored resume and cover letter, ready to send.
Clera is seeking a Robotics Engineer specializing in autonomous drone systems to design, integrate, and validate UAV platforms from prototype through field tests.
You will develop control, navigation, and path planning, implement software with C++/Python and ROS 2, and collaborate with mechanical, electronics, and software teams to advance delivery-focused robotics.
Join an engineering and R&D team as a Robotics Engineer focused on autonomous systems. You will design, integrate, and validate drone-based robotic systems, helping enable safe and reliable delivery operations from early prototypes through field testing.
Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
Develop control, navigation, path-planning, and obstacle-avoidance solutions.
Program and test robotics software with ROS or ROS 2 and C++ or Python, including simulation-based validation.
Integrate flight controllers, companion computers, communications links, and telemetry with drone systems.
Build, troubleshoot, and independently validate robotic systems in the field.
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 robotics, including kinematics, dynamics, control theory, PID, and system integration.
Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
Knowledge of PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
Experience with IMU, GPS or RTK, LiDAR, sensor fusion, or GPS-denied navigation.
Embedded systems experience with microcontrollers, Raspberry Pi or Jetson, actuators, and debugging.
Practical experience in prototyping, simulation, flight-log analysis, and field validation; familiarity with CAN, UART, or I2C.
A relevant degree or equivalent foundation, plus evidence of hands-on projects or other practical building experience. Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS, and UTM experience are helpful.
Visa sponsorship is not available.