Lead Visual Slam Engineer

lionsbot international; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

LionsBot is seeking a Lead Visual SLAM Engineer in Singapore to spearhead real-time SLAM systems for autonomous cleaning robots. You will deploy SLAM across a fleet, define performance KPIs, and ensure robust operation in varied environments.

You will collaborate with hardware and product teams on sensor placement, evaluate RGB-D, IMU, and LiDAR data, and mentor junior engineers while advancing the state of the art in SLAM and CV within a dynamic robotics group.

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 SLAM, computer vision, and sensor fusion techniques.
• Familiar with open-source nonlinear optimization libraries (GTSAM, Ceres, g2o).
• Experience with 3D sensors (RGB-D, LiDAR) and point clouds.

Responsibilities

• Design and implement real-time Visual SLAM systems optimized for computational constraints with high accuracy.
• Deploy SLAM systems to fleets of autonomous robots and ensure robust performance across environments.
• Establish KPIs for SLAM and benchmark against industry standards.
• Evaluate sensors (RGB-D, IMUs, LiDAR) for SLAM applications.
• Collaborate with product and hardware teams for sensor placement and integration.
• Research SLAM and CV technologies for innovations and patent potential.
• Maintain documentation and lead knowledge-sharing initiatives.
• Mentor junior engineers and enforce software engineering best practices.

Skills

SLAM

ROS/ROS2

C++

Python

Sensor fusion

Mathematics

Communication

Education

Bachelor's or Master's in Computer Science/Robotics/EE

Tools

GTSAM

Ceres

g2o

Job description

Company Overview

At LionsBot, we are one team, striving together for excellence. We are a leader in autonomous cleaning robots, committed to innovation and quality.

Job Title

Lead Visual SLAM Engineer

Key Responsibilities

• Design and implement real-time Visual SLAM systems optimized for 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.

Qualifications & Experience

• 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 Localization and Mapping (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!