Principal ML & AI Engineer (Spatial AI & Perception)

About this role

Responsibilities

• Develop and train infrastructure perception models for lane detection, road boundaries, traffic signs/lights, and road surface attributes
• Own the hands-on model optimisation pipeline for edge deployment, including ONNX export, TensorRT/QNN compilation, operator compatibility checks, graph optimisation, quantisation, compression, and accuracy recovery
• Operationalise novel architectures by translating state-of-the-art research into reproducible, scalable training pipelines
• Partner with research, simulation, and technical leadership to ensure perception outputs meet downstream training and deployment requirements