About this role
Lead the R&D of high-precision SLAM technologies for last-mile delivery robots to ensure autonomous navigation in complex urban environments. Manage the full lifecycle of algorithm development, from prototype design to large-scale production deployment on edge platforms.
Requires a Master's degree or higher in a relevant technical field and at least 5 years of experience in SLAM R&D for robotics or autonomous driving. Candidates must possess expert-level proficiency in C++, Linux, ROS 2, and experience with sensor fusion and high-performance computing.
What they're looking for
SLAMLiDARC++LinuxROS 2CUDATensorRTComputer Vision
Frequently asked questions
What does a Lead Localization Engineer (L4 Autonomous Systems) at Grab do?
Lead the R&D of high-precision SLAM technologies for last-mile delivery robots to ensure autonomous navigation in complex urban environments. Manage the full lifecycle of algorithm development, from prototype design to large-scale production deployment on edge platforms. Requires a Master's degree o…
What skills does this Lead Localization Engineer (L4 Autonomous Systems) role need?
Key skills for this role include SLAM, LiDAR, C++, Linux, ROS 2, CUDA.
How much does a Lead Localization Engineer (L4 Autonomous Systems) at Grab pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Lead Localization Engineer (L4 Autonomous Systems) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Lead Localization Engineer (L4 Autonomous Systems) role?
You can apply directly on Grab's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.