Senior Software Engineer, Perception (Robotics)

About the Company

Responsibilities

• ● Build and ship systems that turn raw multi-sensor data into a reliable, real-time, and predictive representation of the world
• ● Work across a robust modular perception stack and modern learning-based approaches, contributing through model development, evaluation, debugging, integration, and on-robot validation
• ● Deepen three connected capabilities: multi-object tracking, generic/open-set world understanding, and motion prediction
• ● 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
• ● Develop and improve multi-object tracking, including data association, Bayesian state estimation, track lifecycle, and ID stability
• ● Build and harden generic/open-set world understanding, including class-agnostic obstacle detection, occupancy grids/occupancy networks/BEV occupancy, clustering, and learned generic-object branches
• ● Build motion prediction for pedestrians, cyclists, vehicles, and other agents, including multi-modal trajectory forecasting, interaction-aware prediction, occupancy flow, uncertainty estimation, and well-defined interfaces into behaviour and planning
• ● Develop and evaluate end-to-end temporal perception-prediction approaches, such as joint detection-tracking-forecasting, streaming BEV representations, agent/trajectory queries, and learned world models