Senior UAV Robotics Autonomy Engineer

Cleo Robotics Inc; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity

Flexible PTO

Health insurance

Fully stocked kitchen

Job summary

Cleo Robotics is seeking a Robotics Autonomy Engineer to advance cutting-edge AI and autonomy for the Dronut UAV platform. You will develop, integrate, test, and deploy algorithms enabling GPS-denied navigation using 3D LiDAR, IMU, and camera data.

You will own end-to-end localization, mapping, perception, and safety controls, working across perception, flight controls, and vehicle dynamics to deliver robust, real-time autonomy on embedded edge hardware.

Qualifications

• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a related field.
• Master's degree in Robotics, Autonomous Systems, Controls, or Computer Vision is a plus.
• 3–5 years of professional experience developing autonomy, localization, state estimation, navigation, and/or flight software for robots or autonomous systems.

Responsibilities

• Own and advance Cleo’s autonomy stack across localization, mapping, state estimation, sensor fusion, path planning, obstacle avoidance, and mission execution.
• Work across autonomy, perception, sensors, flight controls, and vehicle dynamics to solve system-level problems and optimize real-time performance.
• Develop and harden visual‑inertial and LiDAR‑based SLAM, multi‑sensor fusion, sensor calibration, relocalization, drift management, and map persistence.
• Develop perception and reactive autonomy for obstacle detection, free‑space understanding, dynamic replanning, and safe navigation.

Skills

C++

Python

ROS2

Embedded Linux

Sensor fusion

SLAM

GPU acceleration

Education

Bachelor's degree in Robotics/CS or related

Master's degree in Robotics/Autonomous Systems

Tools

Git

Docker

Linux

NVIDIA Jetson/SoC

PX4/ArduPilot

Job description

Cleo Robotics is seeking a Robotics Autonomy Engineer to advance cutting-edge AI and autonomy for the Dronut UAV platform. You will develop, integrate, test, and deploy algorithms enabling GPS-denied navigation using 3D LiDAR, IMU, and camera data.

You will own end-to-end localization, mapping, perception, and safety controls, working across perception, flight controls, and vehicle dynamics to deliver robust, real-time autonomy on embedded edge hardware.