Mid-Level Robotics Engineer, Autonomous Systems

Clera
Unknown
Posted about 2 hours ago
Mid-Level-Autonomy-Engineer

AI summary

As a Mid-Level Robotics Engineer, you'll design, integrate, and validate drone-based robotic systems, focusing on autonomous operations through programming and field testing.

Eligible from: Unclear

Job Description

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

  • Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
  • Develop control, navigation, path-planning, and obstacle-avoidance solutions.
  • Program robotics software with ROS or ROS 2 and C++ or Python, and validate solutions in simulation.
  • Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
  • Build, troubleshoot, and field-test prototypes, 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.
  • Strong foundations in kinematics, dynamics, control theory, PID, and system integration.
  • Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
  • Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
  • Knowledge of IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.
  • Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
  • Familiarity with CAN, UART, I2C, drone telemetry, simulation, field testing, and flight-log analysis.
  • 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.

Originally posted on Himalayas

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About the job

Posted on
Oct 18, 2026
Job type
Full-time
Location
UnknownUnknown

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