Mid-Level Robotics Engineer, Autonomous Systems

Clera · remote · posted Oct 17, 2026

Full-timemid

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What this role actually asks for

Extracted by RemoteHunt

Must have

  • •2+ years robotics/UAV/autonomous systems experience
  • •Kinematics, dynamics, control theory, PID
  • •C++ or Python, ROS or ROS 2, Linux
  • •PX4 or ArduPilot, MAVLink
  • •IMU, GPS or RTK, LiDAR, sensor fusion
  • •Embedded systems, microcontrollers, Raspberry Pi/Jetson

Nice to have

  • •Computer vision
  • •Machine learning
  • •SLAM
  • •Gazebo, Webots
  • •CAD, BVLOS

Tools and technologies

ROSROS 2C++PythonLinuxMATLABPX4ArduPilotMAVLinkIMUGPSRTKLiDARRaspberry PiJetson

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 build and integrate drone-based robotic systems from prototype through field validation, supporting safe and reliable delivery 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 solutions in simulation.

  • Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.

  • Build, troubleshoot, and field-test prototypes, analyzing flight logs and sensor data.

  • 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 kinematics, dynamics, control theory, PID, and system integration.

  • Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.

  • Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.

  • Knowledge of IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.

  • Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.

  • Familiarity with CAN, UART, I2C, drone telemetry, simulation, field testing, and flight-log analysis.

  • Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field. Computer vision, machine learning, SLAM, Gazebo, Webots, CAD, or BVLOS experience is a plus.

Compensation & Benefits

Visa sponsorship is not available.

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