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What this role actually asks for
Extracted by RemoteHuntMust have
- •2+ years robotics, UAV, or autonomous systems experience
- •Robotics kinematics, dynamics, control theory, PID
- •C++ or Python, ROS or ROS 2, Linux
- •PX4 or ArduPilot, MAVLink, motors, ESCs, batteries
- •Sensor integration (IMUs, GPS, LiDAR)
- •Embedded systems (microcontrollers, Raspberry Pi, Jetson)
Nice to have
- •Computer vision, machine learning, SLAM
- •Gazebo or Webots
- •CAD, BVLOS operations, UTM concepts
Tools and technologies
Worth checking before you apply
- ⚠Visa sponsorship is not available
The full posting
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
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Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
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Develop control, navigation, path-planning, and obstacle-avoidance solutions.
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Build robotics software with ROS or ROS 2 and C++ or Python, and validate systems in simulation.
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Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
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Build, troubleshoot, and independently validate robotic systems in the field.
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Work with mechanical, electronics, and software teams on prototype development and deployment.
What We're Looking For
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At least 2 years of hands-on experience building or delivering robotics, UAV, or autonomous systems.
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Strong foundations in robotics kinematics, dynamics, control theory, PID, and system integration.
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Proficiency with C++ or Python, ROS or ROS 2, and Linux; MATLAB familiarity is useful.
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Experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
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Hands-on experience integrating sensors such as IMUs, GPS or RTK, and LiDAR, including sensor fusion or GPS-denied navigation.
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Embedded systems experience with microcontrollers, Raspberry Pi, or Jetson, plus actuators and hardware debugging.
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Familiarity with CAN, UART, I2C, drone telemetry, simulation, flight-log analysis, and field testing.
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A degree in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field.
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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.
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