Mapping and Localization Engineer

Posted 2 Days Ago
Be an Early Applicant
Singapore, SGP
In-Office
Entry level
Robotics • Automation
The Role
Design and implement sensor-fusion 2D/3D mapping and reliable real-time localization for autonomous indoor cleaning robots. Merge and maintain lifelong maps, optimize algorithms for ARM-based embedded systems and real-time execution, and lead technical reviews while mentoring junior engineers using Modern C++, ROS/ROS2, and Python. Handle edge cases like glass walls, featureless corridors, and dynamic environments.
Summary Generated by Built In

We are seeking a Mapping and Localization Engineer to design and deploy robust spatial estimation systems for our fleet of autonomous cleaning robots. This role focuses on the development of highly reliable mapping and localization systems for dynamic indoor environments.

Roles & Responsibilities
  • Mapping: Design and implement systems for sensor fusion-based 2D/3D mapping, including map merging, and life long map update.

  • Localization: Development of reliable real-time localization for long-term autonomous operation of robots.

  • Deployment: Optimize algorithms for ARM-based embedded systems and real-time execution.

  • Mentorship: Lead technical design reviews and mentor junior engineers in software best practices (Modern C++, ROS2).

Requirements & Qualifications
  • Fresh Graduates are welcome to apply

  • Core Expertise: Proficiency in at least one of the following:

    • LiDAR-based Mapping/Localization: 2D or 3D LiDAR.

    • Vision-based Mapping/Localization: Monocular, Stereo, or RGB-D.

  • Math Foundation: Strong understanding of linear algebra, probability, and non-linear optimization.

  • Software Skills: Advanced proficiency in Modern C++ (14/17/20).

  • Strong experience with ROS / ROS2.

  • Proficiency in Python for analysis and scripting.

  • Proven experience handling "edge cases" such as glass walls, featureless corridors, and highly dynamic environments to ensure stable operation.

We encourage you to apply for this exciting opportunity if you're ready to take on challenges and push the boundaries of Mapping and Localization. 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!

Skills Required

  • Proficiency in LiDAR-based or Vision-based Mapping/Localization (2D/3D LiDAR, Monocular, Stereo, or RGB-D)
  • Sensor fusion-based 2D/3D mapping, map merging, and lifelong map update experience
  • Strong understanding of linear algebra, probability, and non-linear optimization
  • Advanced proficiency in Modern C++ (C++14/17/20)
  • Strong experience with ROS / ROS2
  • Proficiency in Python for analysis and scripting
  • Experience optimizing algorithms for ARM-based embedded systems and real-time execution
  • Proven experience handling edge cases such as glass walls, featureless corridors, and highly dynamic environments
  • Ability to lead technical design reviews and mentor junior engineers (software best practices, Modern C++, ROS2)
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The Company
HQ: Singapore
143 Employees
Year Founded: 2018

What We Do

Founded in 2018, LionsBot is a Singapore-headquartered smart robotics company providing deep technology solutions to the commercial cleaning industry. LionsBot has created a range of autonomous floor-cleaning machines designed and built in Singapore and equipped with LionsOS, its proprietary cloud operating system. The company’s first robot, the LeoBot, was awarded the prestigious Interclean Amsterdam Innovation Award in 2020 – the first Asian company to win this coveted prize. LionsOS was awarded the European Cleaning & Hygiene Award for technological innovation of the year in 2022 and the prestigious IF design award in 2023. The R3 Vac was awarded the Red Dot award – one of the world’s largest design competitions. Today, LionsBot has over 1,700 cleaning robots in 30 countries and counting across Europe, the US and Asia, with subsidiaries in India, the US and Netherlands.

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