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Open nowPosted 20 hours ago

Robotics Engineer, Autonomous Systems

Clera313 open roles

Where
remote
Work mode
Remote
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Your applicationOpen nowRobotics Engineer, Autonomous SystemsClera · remote

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 20 hours ago

Clera median: 6 days open

The posting

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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