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Mid-Level Robotics Engineer, Autonomous Systems

Clera · Work from home
Work from home
PayPay not listed
WhereWork from home
TypeFull timeMid-level
Posted18 Oct17 days ago, via Himalayas
Kaam checked
No fee, deposit or pay-to-apply signs
Day work
Skills they list6 named
Mid Level Autonomy EngineerAutonomous Systems EngineerSoftware Engineer (Robotics)Embedded Robotics EngineerRobotics Engineering JobsRobotics Engineer
About this job

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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