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What this role actually asks for
Extracted by RemoteHuntMust have
- •2+ years robotics/UAV/autonomous systems experience
- •Kinematics, dynamics, control theory, PID
- •C++ or Python, ROS or ROS 2, Linux
- •PX4 or ArduPilot, MAVLink
- •IMU, GPS or RTK, LiDAR, sensor fusion
- •Embedded systems, microcontrollers, Raspberry Pi/Jetson
Nice to have
- •Computer vision
- •Machine learning
- •SLAM
- •Gazebo, Webots
- •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 build and integrate drone-based robotic systems from prototype through field validation, supporting safe and reliable delivery 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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Program robotics software with ROS or ROS 2 and C++ or Python, and validate solutions 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 field-test prototypes, analyzing flight logs and sensor data.
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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 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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Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
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Knowledge of IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.
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Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
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Familiarity with CAN, UART, I2C, drone telemetry, simulation, field testing, and flight-log analysis.
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Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field. Computer vision, machine learning, SLAM, Gazebo, Webots, CAD, or BVLOS experience is a plus.
Compensation & Benefits
Visa sponsorship is not available.
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