Get to Know the Team
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.
We are a senior, hands-on engineering group that prizes operational excellence, clear interfaces, and reproducible pipelines.
Get to Know the Role
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 behavioral 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 behavior selection, constrained optimization, 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
What Essential Skills You Will Need
Essential Skills
- Extensive experience in robotics, with a focus on motion planning, trajectory optimization, 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), behavior planning, interaction-aware planning, or vehicle dynamics modeling.
- 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 behavior modeling (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).
