Mid-Level Robotics Engineer, Autonomous Systems

About the role

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

Skills mentioned in the listing

Electrical engineeringCADMATLABPythonC++LinuxMachine learningMechatronics

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Electrical engineering · mentioned
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 BV

CAD · mentioned
e, 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

MATLAB · requirement-context
tion. 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 R

Python · mentioned
e-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 d

C++ · mentioned
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

Linux · requirement-context
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. Kn

Machine learning · mentioned
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. Ori

Mechatronics · mentioned
, 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, Webo