Senior Principal Planning

Senior Principal Planning & Control Engineer Join to apply for the Senior Principal Planning & Control Engineer role at Grab Overview Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle‐free, we are here for everything. In Grab, purpose brings joy and habits build excellence, while we harness the power of technology and AI to drive Southeast Asia forward by economically empowering everyone with heart, hunger, honour, and humility. Job Description Our team develops production‐grade robotics and autonomy capabilities for the uniquely complex, unstructured urban environments of Southeast Asia. We are ambitious and pragmatic: advancing perception, planning, and control step by step, with safety evidence as the gate for every milestone. We focus on building robust system capabilities, scaling with uncompromised quality, and collaborating with industry leaders while investing in in‐house expertise where it differentiates us. Role Overview As the Senior Principal Planning & Control Engineer, you will be the technical anchor and visionary for motion planning and control. You will architect, design, and deliver the systems that allow autonomous platforms to navigate safely, smoothly, and predictably in complex urban environments. This is a hands‐on role with broad technical ownership, setting direction and standards for planning and control while driving the development of production‐grade solutions. You will report to the Head of Engineering and will contribute directly to both technical and strategic leadership. This is a fully onsite role at Grab Singapore's One North office. The Critical Tasks You Will Perform Technical Leadership & Strategy Own the technical vision and roadmap for motion planning and control, from behavioural planning through trajectory generation and vehicle actuation. Architect a scalable, production‐grade planning and control stack tailored to the challenges of Southeast Asian environments. Lead technical design reviews and set the standard for developing verifiable and safety‐critical software, regardless of the underlying methodology. Hands‐on Development & Implementation Lead development of planning algorithms for real‐time, online replanning, including behaviour selection, constrained optimisation, trajectory generation, and interaction‐aware motion planning. Develop robust control algorithms to ensure vehicle stability, comfort, and safety under real‐world constraints. Develop high‐fidelity simulation and validation frameworks to rigorously test and harden the planning and control modules. Own the lifecycle of algorithms: specification, design, implementation, testing (simulation, SIL/HIL), and deployment. Mentorship & Collaboration Mentor senior engineers; set the bar for design reviews, experimentation hygiene, and operational excellence. Partner with technical anchors in Perception, Prediction, Mapping, and Vehicle Integration to deliver a cohesive autonomy stack. Translate advances in planning and control into robust, production‐grade systems. Qualifications Essential Skills Extensive experience in robotics, with a focus on motion planning, trajectory optimisation, or control for autonomous systems. Proven experience designing, building, and shipping production‐grade planning and/or control systems for autonomy, ADAS, or complex robotics. Expert‐level proficiency in modern C++ (C++17+) and Python for real‐time, resource‐constrained applications. Deep expertise in several of: trajectory generation, model predictive control (MPC), behaviour planning, interaction‐aware planning, or vehicle dynamics modelling. Deep expertise in decision‐making under uncertainty, with experience leveraging probabilistic inputs from perception and prediction systems. Hands‐on experience with simulation frameworks, SIL/HIL testing, and validation of safety‐critical systems. Demonstrated leadership in architecture and design of complex, safety‐critical software systems. BS/MS/PhD in CS, EE, Robotics, or equivalent practical experience. Preferred Skills Experience with machine learning approaches to planning or behaviour modelling (e.g., imitation learning, reinforcement learning, or hybrid systems). Experience with interfaces across the autonomy stack (planning, perception, prediction, control, vehicle integration). Knowledge of vehicle actuation systems, drive‐by‐wire, and dynamics constraints. Experience with safety frameworks (e.g., ISO 26262, SOTIF) and evidence‐driven readiness gates. Familiarity with large‐scale simulation, scenario‐based testing, and performance benchmarking. Publications or patents in top‐tier robotics or control venues (e.g., ICRA, IROS, RSS, CoRL). Benefits Term Life Insurance and comprehensive Medical Insurance. GrabFlex to create a benefits package that suits your needs and aspirations. Parental and Birthday leave, and Love‐all‐Serve‐all (LASA) volunteering leave. Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. FlexWork arrangements such as differentiated hours. EEO Statement We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal‐opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #J-18808-Ljbffr