Robotics Engineer, Autonomous Systems

Clera · remote · posted Oct 23, 2026

Full-timejunior

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What this role actually asks for

Extracted by RemoteHunt

Must have

  • •2+ years robotics, UAV, or autonomous systems experience
  • •Robotics kinematics, dynamics, control theory, PID
  • •C++ or Python, ROS or ROS 2, Linux
  • •PX4 or ArduPilot, MAVLink, motors, ESCs, batteries
  • •Sensor integration (IMUs, GPS, LiDAR)
  • •Embedded systems (microcontrollers, Raspberry Pi, Jetson)

Nice to have

  • •Computer vision, machine learning, SLAM
  • •Gazebo or Webots
  • •CAD, BVLOS operations, UTM concepts

Tools and technologies

ROSROS 2C++PythonLinuxPX4ArduPilotMAVLinkIMUsGPSRTKLiDARRaspberry PiJetsonCAN

Worth checking before you apply

  • ⚠Visa sponsorship is not available

The full posting

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.

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