About this role
You will lead the R&D of high-precision SLAM technologies for last-mile delivery robots, overseeing the transition from prototype to large-scale commercial deployment. Additionally, you will manage performance optimization on edge platforms and build automated toolchains for mapping and system evaluation.
The role requires a Master's degree or higher in a relevant 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 multi-sensor fusion techniques.
What they're looking for
SLAMC++LiDARComputer VisionROS 2CUDATensorRTFactor Graph Optimization
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, overseeing the transition from prototype to large-scale commercial deployment. Additionally, you will manage performance optimization on edge platforms and build automated toolchains for mapping and system evalu…
What skills does this Lead Localization Engineer (L4 Autonomous Systems) role need?
Key skills for this role include SLAM, C++, LiDAR, Computer Vision, 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.