About this role
You will lead the R&D of high-precision SLAM technologies for last-mile delivery robots, driving the system from prototype to large-scale commercial deployment. Additionally, you will optimize algorithms for edge platforms and build automated toolchains for map generation and system evaluation.
Candidates must hold a Master's degree or higher in a relevant field and possess at least 5 years of experience in SLAM R&D for robotics or autonomous driving. Proficiency in C++, Linux, ROS 2, and experience with LiDAR or visual SLAM systems are essential.
What they're looking for
SLAMLiDARC++LinuxROS 2CUDATensorRTComputer Vision
Frequently asked questions
What does a Lead Localization Engineer (L4 Autonomous Systems) at Grab do?
You will lead the R&D of high-precision SLAM technologies for last-mile delivery robots, driving the system from prototype to large-scale commercial deployment. Additionally, you will optimize algorithms for edge platforms and build automated toolchains for map generation and system evaluation. Cand…
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.