Robotics SLAM & AI Navigation Engineer (LLM/VLM)

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

8 days ago
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Job summary

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD. is seeking a Robotics Algorithm Engineer to develop intelligent navigation and perception algorithms for autonomous robots operating in complex environments.

The role concentrates on SLAM/autonomous navigation and LLM/VLM-based robotics intelligence, covering spatial understanding, task planning, semantic mapping, and BIM-aware robotic applications, with hands-on deployment on real robots.

Qualifications

  • Master’s or higher in Robotics, CS, AI, automation, EE, or related field.
  • Strong knowledge of SLAM, localization, mapping or autonomous navigation.
  • Experience with SLAM frameworks such as FAST-LIO2, ORB-SLAM, RTAB-Map, or GTSAM.

Responsibilities

  • Develop and optimize LiDAR/Vision/IMU-based SLAM and localization algorithms.
  • Develop robust navigation solutions for dynamic and GPS-denied construction environments.
  • Work on point cloud registration, mapping, relocalization, loop closure, and map updating.
  • Integrate SLAM and navigation with ROS 2 and robotic platforms.
  • Develop LLM/VLM-based algorithms for scene understanding, task planning, and intelligent inspection.
  • Combine BIM, spatial information, robot perception, and LLM/VLM for various applications.
  • Explore LLM/VLM-based agents, spatial reasoning, semantic mapping, and autonomous task generation.
  • Conduct algorithm testing, system integration, and deployment on real robots.

Skills

SLAM / localization
Autonomous navigation
LiDAR / Vision / IMU SLAM
ROS 2
C++ / Python
LLM / VLM in robotics
Robot perception

Education

Master’s degree or above in Robotics, Computer Science, AI, Automation, Electrical Engineering, or related fields

Tools

FAST-LIO2
FAST-LIVO2
LIO-SAM
ORB-SLAM
RTAB-Map
ICP/GICP/NDT
GTSAM
ROS 2

Job description

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD. is seeking a Robotics Algorithm Engineer to develop intelligent navigation and perception algorithms for autonomous robots operating in complex environments.

The role concentrates on SLAM/autonomous navigation and LLM/VLM-based robotics intelligence, covering spatial understanding, task planning, semantic mapping, and BIM-aware robotic applications, with hands-on deployment on real robots.

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