Principal ML & AI Engineer (Spatial AI & Perception)

About this role

What's the role?
As ADAS/AD moves towards model-driven intelligence, industry value is extending from map delivery to model training and validation.


It's the growth of HERE's AI-model creation platform that turns maps and drive data into reusable spatial intelligence – powering scalable training, validation, and next generation ADAS/AD performance.


As a
Principal Engineer
, you will work hands-on with cutting-edge architectures (BEVFormer, BEVFusion, occupancy networks), large-scale distributed training, model quantisation and compression for embedded SOCs, and proprietary datasets at a scale that most organisations simply do not have access to. If you want to push perception AI from research to real-world deployment — this is the role.


Key Responsibilities

• Model Development & Training: Develop and train infrastructure perception models for lane detection, road boundaries, traffic signs/lights, and road surface attributes. Build BEV-based scene representation models (BEVFormer, BEVDet, BEVFusion, or similar), run large-scale distributed training, integrate geospatial priors, and validate synthetic training data for quality and coverage gaps.
• Model Optimisation & Edge Readiness: 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. Profile and benchmark models on embedded hardware, identifying latency, throughput, memory, and bottleneck issues, and build automated regression pipelines to validate models against release targets.
• Research-to-Pipeline Implementation: Operationalise novel architectures: translate state-of-the-art research (CVPR/NeurIPS papers) into reproducible, scalable training pipelines. Design rigorous experiments, including A/B tests and ablation studies, while evaluating cloud accuracy, deployment readiness, distribution coverage, temporal consistency, ...