Senior Software Engineer, Perception (Robotics)

About Grab and Our WorkplaceGrab 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've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. About the Team:The Robotics Technology team is a core part of Grab's long-term vision to build urban embodied AI. Our engineers take full ownership of the product lifecycle: designing and manufacturing hardware in-house, developing control and machine-learning systems, and rigorously testing in real-world conditions and production fleet operations. We are executing an ambitious growth plan to expand our robotics fleet across cities over the coming years, and we are focused on delivering highly productive, safe and efficient robot delivery services that help address current delivery labour shortages.Based in Singapore and China, we offer opportunities to work on the latest autonomy, deploy solutions in complex environments, and directly influence the future of last-mile logistics. If you're excited by tangible impact, large-scale systems and cross-functional engineering, you'll find meaningful challenges and rapid career growth here.Get to know the roleAs a Senior Perception & Prediction Engineer, you will build and ship systems that turn raw multi-sensor data into a reliable, real-time and predictive representation of the world. You will work across a robust modular perception stack and modern learning-based approaches, contributing through model development, evaluation, debugging, integration and on-robot validation.On top of a shipped multi-sensor detection baseline, you will deepen three connected capabilities: multi-object tracking, generic / open-set world understanding, and motion prediction. You will also help evaluate and productionise end-to-end temporal perception-prediction models and VLA / embodied foundation models for open-vocabulary understanding, long-tail reasoning and task-conditioned robot intelligence.We are pragmatic about new research: a model earns its place through measurable closed-loop value, reliable grounding, real-time performance and safety. Classical geometry, filtering and modular components remain important as interpretable baselines, safety fallbacks and guardrails. This role offers the opportunity to take promising research from prototype to fleet data, embedded deployment and real-world robot behaviour.You will report to the Senior Principal Perception & Prediction Engineer and work onsite at a Grab office.The critical tasks you will performYou will develop and improve multi-object tracking — data association, Bayesian state estimation (Kalman / EKF / UKF and motion models), track lifecycle, and ID stability through detector gaps, occlusions...