About this role
Lead the research and development of automotive-grade SLAM and spatial intelligence for autonomous delivery platforms. Focus on implementing high-precision localization, HD map fusion, and deploying optimized algorithms on NVIDIA Orin hardware.
Requires a Master's degree or above in Robotics, CS, or related fields with over 5 years of SLAM R&D experience. Must be an expert in high-performance C++ and proficient in multi-sensor fusion and large-scale mapping.
What they're looking for
SLAMC++LinuxROS 2CUDATensorRTLiDAR SLAMVisual SLAM
Frequently asked questions
What does a Lead Localization Engineer (L4 Autonomous Systems) at Grab do?
Lead the research and development of automotive-grade SLAM and spatial intelligence for autonomous delivery platforms. Focus on implementing high-precision localization, HD map fusion, and deploying optimized algorithms on NVIDIA Orin hardware. Requires a Master's degree or above in Robotics, CS, or…
What skills does this Lead Localization Engineer (L4 Autonomous Systems) role need?
Key skills for this role include SLAM, C++, Linux, ROS 2, CUDA, TensorRT.
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.