Computer Vision Engineer – Mapping and Localization

About Us

At UVIONIX, we are redefining the future of warehouse inventory management with cutting-edge technology and groundbreaking advancements in robotics, AI, and machine learning. Our mission is to revolutionize efficiency and accuracy by designing fully autonomous flying robots that seamlessly collect and deliver real-time data.

Equipped with advanced stereo cameras, LIDAR sensors, and a powerful onboard computing system, our drones navigate intelligently through dynamic environments, always aware, always precise. By harnessing the power of computer vision, object detection, path planning, and SLAM algorithms, we are not just automating inventory tracking – we are shaping the future of intelligent automation.

The sky is no longer the limit – it’s our workspace.

Technology stack

• C, C++
• Python
• CUDA
• OpenCV
• ROS, ROS2
• Linux
• NVIDIA Jetson
• Git, GitHub

What we are looking for

At UVIONIX, we’re not just building robots – we’re redefining what’s possible by transforming the way machines understand the world around them. As a mapping and localization algorithms engineer, you’ll be at the forefront of developing and implementing cutting-edge algorithms that enable autonomous systems to navigate and map their environments in real-time. If you’re passionate about innovation, solving complex real-world problems, and shaping the future of robotics, this is your opportunity to make a lasting impact. Here’s what you’ll need to succeed:

• Knowledge in design and implementation of Visual Simultaneous Localization and Mapping (VSLAM) algorithms
• Experience with VSLAM libraries and algorithms like RTAB-Map, NVIDIA Isaac ROS Visual SLAM, ORB-SLAM, ORB-SLAM2, ORB-SLAM3, Cartographer, Kimera
• Experience in working with open-source computer vision libraries like PCL and OpenCV
• Strong understanding of ROS/ROS2 and NVIDIA Isaac ROS packages
• Experience in working with LIDAR sensors and IMUs and their integration into localization and mapping algorithms
• Knowledge of 3D transformations using homogeneous coordinates, quaternions and Euler angles
• Strong foundations in applied mathematics, linear algebra, geometry and computer vision
• Proficiency in working with version control systems like Git and GitHub

The following will be considered a plus

• Experience in deploying VSLAM algorithms on edge devices like NVIDIA Jetson, Raspberry Pi or FPGA
• Experience with algorithms for autonomous exploration and loop closure detection
• Experience working with NVIDIA Isaac Sim, Gazebo or AirSim for testing algorithms in virtual environments
• Experience with stereo cameras such as Intel Realsense, ZEDX, ZEDX-Mini
• Experience in sensor fusion between cameras, IMUs, LIDARs using Kalman filters
• Experience in working with NVIDIA Jetson devices – Orin Nano, Orin NX, AGX Orin
• Familiarity with path planning algorithms and integrating localization into real-time navigation pipelines
• Familiarity with the MAVLink and MAVROS ROS2 packages for integrating vision-based localization with UAV control
• Knowledge of 3D reconstruction, pose graph optimization and occupancy map generation techniques

Role and responsibilities

• Design and implementation of real-time Visual Simultaneous Localization and Mapping algorithms for autonomous flying robots
• Adapting open-source VSLAM algorithms like RTAB-Map and NVIDIA Isaac ROS Visual SLAM for large indoor areas and dynamic environments
• Optimizing, tuning and deploying of VSLAM algorithms on edge devices using CUDA and GPU acceleration
• Developing of initial mapping algorithms
• Developing of 2D and 3D occupancy map generation algorithms
• Participate in all phases of development by close collaboration with control systems, robotics, navigation systems, machine learning and embedded Linux engineers

At UVIONIX, we believe that flexibility and motivation are the cornerstones of innovation and success. That’s why we provide a dynamic hybrid work setup and offer a highly competitive remuneration package designed to attract and retain top talent. If you’re ready to take your skills to new heights and be part of something groundbreaking, we’d love to hear from you!

Our team members have the option to work from our offices in the following locations:

• Plovdiv
• Sofia