Job Description

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.

Get to Know the Role

As the Principal Maps & Localization Engineer, you will be the technical anchor for mapping and localization. You will architect, design, and deliver the systems that provide our vehicles with a precise, reliable, and updated understanding of where they are in complex urban environments. This is a hands-on role with broad ownership, setting the standards for localization accuracy, robustness, and scalability while driving the development of production-grade mapping pipelines.

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

Mapping Pipeline & Infrastructure

• Architect and lead the end-to-end pipeline for creating high-definition (HD) maps, from raw survey data ingestion to fleet-wide map distribution.
• Build large-scale SLAM development to produce consistent, high-accuracy 3D point clouds at production scale.
• Fuse LiDAR/camera/IMU/GNSS data to build semantically rich, geo-referenced HD maps with measurable quality targets.
• Develop systems for map change detection, validation, and updates to ensure our maps reflect the real world in urban environments.

Real-Time Localization & State Estimation

• Design and implement the on-vehicle localization system, fusing data from multiple sensors (GNSS, IMU, LiDAR, cameras, odometry) to deliver a precise, real-time vehicle state.
• Develop advanced state estimation filters (e.g., Kalman filters, factor graphs) to ensure localization is robust and reliable, especially in challenging GPS-denied areas like tunnels and urban canyons.
• Define and monitor main performance metrics for localization, including accuracy, availability, integrity, and latency.

Mentorship & Collaboration

• Guide the technical vision and roadmap for all mapping and localization efforts.
• Partner with technical leaders in Perception, Planning and the Grab Geo teams, providing the foundational context of "where we are" that enables all other departments.
• Mentor other engineers, elevating the team's expertise in state estimation, computer vision, and large-scale geometry.

Job Requirements