Robotics Engineer, Autonomous Systems

Clera

Worldwide Remote

Remote

Who this role is best for

Aimed at mid-level to senior robotics engineers with hands-on experience in autonomous systems, who thrive in remote work and collaborative cross-disciplinary environments.

Best fit for

Candidates with 2+ years of practical experience in autonomous systems and drone-based robotics.
— “at least 2 years of hands-on experience in robotics, UAV systems, or autonomous systems”
Individuals who have worked on flight controllers, embedded systems, and sensor integration.
— “Knowledge of PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers”
Professionals with a background in control theory, PID, and system integration.
— “Strong foundations in robotics, including kinematics, dynamics, control theory, PID, and system integration”

Things to consider

Visa sponsorship is not available, which may limit eligibility for non-US candidates.
— “Visa sponsorship is not available”
The role requires field validation, which may involve travel or hands-on testing.
— “Build, troubleshoot, and independently validate robotic systems in the field”

How to stand out

Highlight experience with ROS/ROS 2 and C++/Python in robotics software projects.
— “Program and test robotics software with ROS or ROS 2 and C++ or Python”
Emphasize practical projects involving sensor fusion, IMU, GPS, or LiDAR.
— “Experience with IMU, GPS or RTK, LiDAR, sensor fusion, or GPS-denied navigation”
Showcase expertise in flight controller integration and drone payload systems.
— “Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems”
Include examples of working with mechanical and electronics teams on prototypes.
— “Collaborate with mechanical, electronics, and software teams on prototype development and deployment”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

designed and integrated robotic systems
developed control and navigation solutions

Typical background

2+ years of robotics engineering experiencehands-on projects

Skills & requirements

Required

Robotics EngineeringAutonomous SystemsDrone-based SystemsControl TheoryNavigation And Path-planning

Preferred

Computer VisionMachine LearningSLAM

Stack & domain

C++PythonROSROS 2LinuxMatlabPX4ArdupilotMavlinkIMUGPSRTKLidarSensor FusionGps-denied NavigationEmbedded SystemsMicrocontrollersRaspberry PiJetsonActuatorsCANUARTI2CComputer VisionMachine LearningSLAMGazeboWebotsCADBvlosUTM

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join an engineering and R&D team as a Robotics Engineer focused on autonomous systems. You will design, integrate, and validate drone-based robotic systems, helping enable safe and reliable delivery operations from early prototypes through field testing.
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 and test robotics software with ROS or ROS 2 and C++ or Python, including simulation-based validation.
Integrate flight controllers, companion computers, communications links, and telemetry with drone systems.
Build, troubleshoot, and independently validate robotic systems in the field.
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 robotics, including kinematics, dynamics, control theory, PID, and system integration.
Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
Knowledge of PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
Experience with IMU, GPS or RTK, LiDAR, sensor fusion, or GPS-denied navigation.
Embedded systems experience with microcontrollers, Raspberry Pi or Jetson, actuators, and debugging.
Practical experience in prototyping, simulation, flight-log analysis, and field validation; familiarity with CAN, UART, or I2C.
A relevant degree or equivalent foundation, plus evidence of hands-on projects or other practical building experience. Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS, and UTM experience are helpful.
COMPENSATION & BENEFITS
Visa sponsorship is not available.

Source: Clera careers (Ashby)