Robotics Engineer, Autonomous Systems

About the role

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

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
eld 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 B

CAD · mentioned
, 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

MATLAB · requirement-context
d 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. Expe

Python · mentioned
idance 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.

C++ · mentioned
cle-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 syst

Linux · requirement-context
s, 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

Machine learning · mentioned
neering, 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. Locatio

Mechatronics · mentioned
rototyping, field testing, and analyzing flight logs. Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related discipline. Computer vision, machine learning, SLAM, simulat