Description review
Robotics Engineer, Autonomous Systems
Clera · remote · back to the listing
HR standards
68/100
needs work
Title ↔ description
84/100
solid
Reads as
Unclear
no confident match
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
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.