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Clera

Mid-Level Robotics Engineer, Autonomous Systems

remote
Salary
Not stated
Level
Mid
Work type
Remote
Visa
Not offered

Open. First seen 17 October 2026.

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The team: Engineering HIRES STEADILY

This role is one of 250 open in Engineering. 184 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (118 of 250), TypeScript (114 of 250), Python (105 of 250), React (93 of 250), Machine Learning (63 of 250), PostgreSQL (45 of 250), JavaScript (42 of 250)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

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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