About this role
Develop and optimize decision and motion planning algorithms for indoor and outdoor delivery robots in urban environments. Research and implement safe, efficient routing systems and data-driven planning R&D to improve robot navigation in complex scenarios.
Requires a Master's degree or above in a relevant technical field and 3-5 years of R&D experience in autonomy or robotics planning. Proficiency in C++, Python, and robotics frameworks like ROS/ROS2 is essential, along with strong knowledge of classical and ML-based planning methods.
What they're looking for
C++PythonLinuxROS/ROS2ApolloAutowareLattice PlanningDynamic Programming
Frequently asked questions
What does a Software Engineer, Decision & Planning Algorithm (Robotics) at Grab do?
Develop and optimize decision and motion planning algorithms for indoor and outdoor delivery robots in urban environments. Research and implement safe, efficient routing systems and data-driven planning R&D to improve robot navigation in complex scenarios. Requires a Master's degree or above in a re…
What skills does this Software Engineer, Decision & Planning Algorithm (Robotics) role need?
Key skills for this role include C++, Python, Linux, ROS/ROS2, Apollo, Autoware.
How much does a Software Engineer, Decision & Planning Algorithm (Robotics) 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 Software Engineer, Decision & Planning Algorithm (Robotics) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Software Engineer, Decision & Planning Algorithm (Robotics) 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.