Robotics Engineer, Autonomous Systems

Clera · remote · posted Oct 19, 2026

Full-timejunior
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What this role actually asks for

Extracted by RemoteHunt

Must have

  • •2+ years in robotics, UAV systems, or autonomous systems
  • •Robotics foundations (kinematics, dynamics, control)
  • •Proficiency in C++ or Python, ROS/ROS 2, Linux
  • •Experience with PX4 or ArduPilot, MAVLink
  • •Experience with IMU, GPS, LiDAR, sensor fusion
  • •Embedded systems experience (microcontrollers, Raspberry Pi/Jetson)

Nice to have

  • •Computer vision
  • •Machine learning
  • •SLAM
  • •CAD
  • •BVLOS

Tools and technologies

ROSROS 2C++PythonLinuxMATLABPX4ArduPilotMAVLinkIMUGPSRTKLiDARCANUART

Worth checking before you apply

  • ⚠Visa sponsorship is not available

The full posting

About the Role

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.

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 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.

What We're Looking For

  • 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.

Compensation & Benefits

Visa sponsorship is not available.

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