hirq
← All jobs

Clera

Robotics Engineer, Autonomous Systems

remote · Remote · FullTime · Engineering

Apply well, not just fast

Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.

About the role

RoboticsPythonC++Embedded SystemsMATLABLinuxMachine LearningComputer VisionCADElectrical Engineering
ABOUT THE ROLE Join an engineering and R&D team developing autonomous drone delivery systems. You will design, integrate, and test robotic systems from early prototypes through field validation, helping enable safe and reliable operations. WHAT YOU'LL DO - Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems. - Develop control, navigation, path-planning, and obstacle-avoidance solutions. - Build robotics software with ROS or ROS 2 and C++ or Python, and validate systems in simulation. - Integrate flight controllers, companion computers, communication links, and telemetry with drone systems. - Build, troubleshoot, and independently validate robotic systems in the field. - Work with mechanical, electronics, and software teams on prototype development and deployment. WHAT WE'RE LOOKING FOR - At least 2 years of hands-on experience building or delivering robotics, UAV, or autonomous systems. - Strong foundations in robotics kinematics, dynamics, control theory, PID, and system integration. - Proficiency with C++ or Python, ROS or ROS 2, and Linux; MATLAB familiarity is useful. - Experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers. - Hands-on experience integrating sensors such as IMUs, GPS or RTK, and LiDAR, including sensor fusion or GPS-denied navigation. - Embedded systems experience with microcontrollers, Raspberry Pi, or Jetson, plus actuators and hardware debugging. - Familiarity with CAN, UART, I2C, drone telemetry, simulation, flight-log analysis, and field testing. - A degree in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field. - Experience with computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS operations, or UTM concepts is a plus. COMPENSATION & BENEFITS Visa sponsorship is not available for this role. LOCATION On-site. The primary location was not specified.