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What this role actually asks for
Extracted by RemoteHuntMust have
- •2+ years in robotics, UAV systems, or autonomous systems
- •Robotics foundations (kinematics, dynamics, control)
- •Proficiency in C++ or Python, ROS/ROS 2, Linux
- •Experience with PX4 or ArduPilot, MAVLink
- •Experience with IMU, GPS, LiDAR, sensor fusion
- •Embedded systems experience (microcontrollers, Raspberry Pi/Jetson)
Nice to have
- •Computer vision
- •Machine learning
- •SLAM
- •CAD
- •BVLOS
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 as a Robotics Engineer focused on autonomous systems. You will design, integrate, and validate drone-based robotic systems, helping enable safe and reliable delivery operations from early prototypes through field testing.
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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Program and test robotics software with ROS or ROS 2 and C++ or Python, including simulation-based validation.
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Integrate flight controllers, companion computers, communications links, and telemetry with drone systems.
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Build, troubleshoot, and independently validate robotic systems in the field.
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Collaborate 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 in robotics, UAV systems, or autonomous systems.
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Strong foundations in robotics, including kinematics, dynamics, control theory, PID, and system integration.
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Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
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Knowledge of PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
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Experience with IMU, GPS or RTK, LiDAR, sensor fusion, or GPS-denied navigation.
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Embedded systems experience with microcontrollers, Raspberry Pi or Jetson, actuators, and debugging.
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Practical experience in prototyping, simulation, flight-log analysis, and field validation; familiarity with CAN, UART, or I2C.
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A relevant degree or equivalent foundation, plus evidence of hands-on projects or other practical building experience. Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS, and UTM experience are helpful.
Compensation & Benefits
Visa sponsorship is not available.
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