Grab is seeking a senior autonomous driving planning algorithm engineer to develop decision-making and motion planning systems for delivery robots operating in both outdoor urban environments and indoor spaces. The role involves designing global routing systems, advancing autonomous driving in complex scenarios, researching non-linear multi-objective planning for unstructured indoor environments, and participating in data-driven end-to-end planning research. The successful candidate will work with a multidisciplinary team across Singapore and China, contributing to the scaling of robot fleets across multiple cities and countries.