Lead Visual SLAM Engineer

Company Overview

Here at LionsBot, we are all one team, striving together for excellence.

We are seeking a Lead Visual SLAM Engineer to spearhead the design, development and deployment of high-performance Visual-based Simultaneous Localization and Mapping (SLAM) solutions for our fleet of autonomous cleaning robots. The ideal candidate will have deep expertise in SLAM technologies, computer vision, sensor fusion and non-linear optimization techniques. This will be combined with strong leadership and innovation capabilities.

Roles & Responsibilities

• Design and implement real-time Visual SLAM systems, that are optimized to operate within computational constraints while maintaining high accuracy.

• Deploy visual SLAM systems onto a fleet of autonomous robots and ensure reliable and robust performance across diverse environments and operational conditions.

• Establish key performance metrics for SLAM and benchmark against industry standards.

• Evaluate and integrate sensors such as RGB-D cameras, IMUs, and LiDARs for SLAM applications.

• Collaborate closely with product and hardware teams to ensure optimal sensor placement for new products

• Research emerging SLAM and computer vision technologies and identify patentable innovations.

• Maintain comprehensive documentation and lead knowledge-sharing initiatives.

• Mentor junior engineers and uphold software engineering best practices through reviews and guidance.

• Conduct frequent design and code reviews to ensure high engineering standards.

• Collaborate with hardware and product teams to optimize sensor placement and system integration.

Requirements & Qualifications

• Bachelor's or Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field.

• 3+ years of experience in Visual SLAM development in a robotics or related industry.

• Proficient with ROS/ROS2.

• Proficiency in modern C++ and scripting languages (e.g., Python, Bash).

• Strong understanding of Simultaneous Mapping and Localization (SLAM).

• Solid knowledge in computer vision and sensor fusion techniques.

• Familiar with open-source non-linear optimization libraries (e.g., GTSAM, Ceres, g2o).

• Solid foundation in linear algebra, probability, and optimization techniques.

• Experienced in handling point clouds from 3D cameras and LiDARs.

• Strong communication, collaboration, and problem-solving skills.

• Experience with developing for embedded/ARM-based devices is a bonus.

• Experience with driving research and patentable innovations is a bonus.

We encourage you to apply for this exciting opportunity if you're ready to take on challenges and push the boundaries of Visual SLAM. Come be a part of our dynamic and collaborative team, where you'll work alongside other experts who share your enthusiasm for building robots. Apply now and join our team that's shaping the future of cleaning robots!