Senior Software Engineer, Planning (Robotics)

📋 Description

• Design global routing, decision and motion planning systems for safe, efficient delivery with
• Advance all-scenario autonomous driving on city streets and semi-enclosed campuses under dynamic
• Research non-structural indoor environments for nonlinear multi-objective planning
• Contribute to quantified metrics, data loops, and expand automated testing coverage
• Engage in data-driven end-to-end planning research and scenario optimization

🎯 Requirements

• Master’s or higher in CS/AI/Applied Math/Vehicle Engineering or related field
• 3-5 years of planning algorithm R&D in autonomous driving or robotics
• Strong C++ coding, proficient Python and Linux; ROS/ROS2 or Apollo/Autoware experience
• Familiar with planning methods (Lattice, DP/QP, Hybrid A*, POMDP); experience with real vehicle
• 3+ years of game theory or interactive environment decision planning; ML planning methods
• Knowledge of layered autonomous driving planning stack; evaluate trajectory quality

🎁 Benefits

• Life and medical insurance; GrabFlex benefits package
• Parental and birthday leave; LASA volunteering leave
• Grabber Assistance Programme; flexible work arrangements and travel reimbursement
• Inclusive, merit-based culture with competitive compensation and equity opportunities