Live opening · Posted 2 days ago

Robotics Engineer, Autonomous Systems

Clera · remote
Ashby No FullTime
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyClera
Locationremote
Job typeFullTime
Work modeNo
SkillsPython, C++
SourceAshby
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

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.

Employment type
FullTime

Work arrangement
No

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