Job Description & Requirements We are seeking a Lead SLAM Engineer to drive the development of high-performance Simultaneous Localization and Mapping (SLAM) solutions for our fleet of autonomous cleaning robots. The successful candidate will be responsible for owning and enhancing the existing SLAM pipeline, leveraging state-of-the-art techniques to deliver real-time, robust performance in dynamic environments. Beyond technical contributions, this role involves mentoring engineers, advancing SLAM research, and shaping the next generation of autonomous localization and mapping technologies

Key Responsibilities Design, implement and optimize 2D/3D SLAM algorithms for high precision and real-time localization of mobile robots in both indoor and semi-indoor environments. Design, implement and optimize 2D/3D lifelong mapping algorithms. Maintain, debug and improve upon existing algorithms that are deployed on the machines and perform periodic validations to ensure reliable performance

Establish key performance metrics for SLAM system evaluation and perform benchmarks against industry standards.

Evaluate and select optimal sensors related to SLAM applications, such as depth cameras, IMUs, and LiDARs.

Collaborate closely with product and hardware teams to ensure optimal sensor placement for new products Explore emerging SLAM and computer vision technologies to enhance system performance, and also identify opportunities for patentable innovations.

Provide technical guidance and mentorship to junior engineers.

Conduct design and code reviews to ensure high engineering standards.

Qualifications & Experience Bachelor's or Masters degree in computer science, electrical engineering, robotics, or a related field.

Minimum of 3 years of experience in a relevant industry, working on SLAM technologies.

Strong understanding of Simultaneous Mapping and Localization techniques.

Solid knowledge in computer vision and sensor fusion techniques.

Familiar with open-source libraries such as GTSAM, g2o, ceres, etc.

Expertise with dealing with pointclouds from various sensor sources such as LiDAR, RGBD cameras and IMUs.

Highly proficient in modern C++ and Python development on Linux Proficient in ROS/ROS2.

Good mathematical knowledge in probability, linear algebra, optimization, and Bayesian filtering techniques (e.g., EKF, Particle Filters, Graph Optimization).

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

Strong analytical and critical thinking skills to overcome technical challenges.

Excellent communication and collaboration skills with internal engineering teams.

If you have a passion for driving meaningful operational improvements, excel at analytical problem-solving, and thrive in a dynamic scaleup atmosphere, we invite you to join LionsBot and help shape the future of robotics innovation.