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Clera / Software

Robotics Engineer, Autonomous Systems

nuevaDesde Argentina

  • Remoto desde Argentina
  • Tiempo completo
  • Remoto
  • Semi senior
  • 2+ años de experiencia

Requisitos

  • python
  • c++
  • linux
  • • 2+ años de experiencia
  • • inglés intermedio o más (el aviso está escrito en inglés)

Suma si tenés

  • qa
  • machine learning

La búsqueda

About the Role Join an engineering and R&D team working on autonomous drone delivery systems. You will design, integrate, and test robotic systems from prototype through field validation, helping make drone operations safe and reliable.

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 and test robotics software using ROS or ROS 2, C++ or Python, and simulation tools.

• Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.

• Build, troubleshoot, and validate prototypes in the field, analyzing flight logs and sensor data.

• Collaborate with mechanical, electronics, and software teams on prototype development and deployment.

What We're Looking For

• At least 2 years of hands-on experience in robotics, UAV systems, or autonomous systems.

• Knowledge of kinematics, dynamics, control theory, PID, and system integration.

• Experience with ROS or ROS 2, Linux, and C++ or Python; MATLAB familiarity is useful.

• Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.

• Experience with IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.

• Embedded systems skills, including microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.

• Familiarity with CAN, UART, I2C, and drone telemetry, plus experience prototyping, field testing, and analyzing flight logs.

• Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related discipline. Computer vision, machine learning, SLAM, simulation, CAD, or BVLOS experience is a plus.

Compensation & Benefits

Visa sponsorship is not available.

Location On-site. The primary location was not provided. Originally posted on Himalayas

Publicado en Himalayas. Los datos de requisitos los extrae Maru del aviso: ante cualquier duda, manda el aviso original.

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