Source-listed Job

Robotics Engineer, Autonomous Systems

ABOUT THE ROLE

Job Remote Source description available
Clera Source published Oct 22, 2026 Source retrieved Oct 22, 2026
Source: Clera (ashby) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull-time
Work modeRemote / location-flexible

Overview

ABOUT THE ROLE

Full job description

ABOUT THE ROLE Join an engineering and R&D team building autonomous robotic systems for drone delivery. You will take systems from prototype through integration and 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.
  • Program 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.
  • Collaborate with mechanical, electronics, and software teams on prototypes and deployments. WHAT WE'RE LOOKING FOR
  • At least 2 years of hands-on experience building or delivering robotics, UAV, or autonomous systems.
  • Strong knowledge of kinematics, dynamics, control theory, PID, and system integration.
  • Proficiency in C++ or Python, ROS or ROS 2, and Linux; MATLAB familiarity is useful.
  • Experience with PX4 or ArduPilot, MAVLink, flight controllers, motors, ESCs, and batteries.
  • Experience integrating IMU, GPS/RTK, or LiDAR sensors, and working with sensor fusion or GPS-denied navigation.
  • Embedded systems experience with microcontrollers, Raspberry Pi, or Jetson, plus hardware debugging and actuators.
  • Familiarity with CAN, UART, I2C, and drone telemetry.
  • A degree in robotics, mechatronics, electrical or electronics engineering, aerospace, computer science, or a related field.
  • Additional experience with computer vision, machine learning, SLAM, Gazebo, Webots, CAD, or BVLOS operations is helpful. COMPENSATION & BENEFITS Visa sponsorship is not available for this role. LOCATION On-site. The primary location was not specified.

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