About the job

What's the role? As ADAS/AD moves towards model-driven intelligence, industry value is extending from map delivery to model training and validation. HERE can convert its map and drive data into a scalable AI model-creation platform – capturing significant value from training, validation and next generation ADAS/AD performance.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.

The roleIn this role, you’ll lead the architecture and delivery of perception models that run from cloud training through to deployment on automotive-grade hardware. A key part of the challenge is “design for deployment” from day one—building models that can meet strict latency and memory constraints on embedded/edge platforms, without compromising real-world performance. You will define the architecture, build a world-class team, and own the full journey from research through to deployment-ready models at scale.

• What You’ll DoOwn, define and lead the end-to-end perception architecture—from cloud training to deployment-ready model variants for automotive-grade SoCs (e.g., Qualcomm Snapdragon Ride, NVIDIA Orin, or similar).
• Drive a deployment-first approach across architecture decisions, including quantization, latency targets, and memory constraints.
• Turn state-of-the-art perception research into reliable, scalable production pipelines (cloud + edge model variants).
• Guide BEV / multi-camera perception focused on road infrastructure (lanes, boundaries, signs, traffic lights, road surface attributes).
• Define evaluation and validation standards, including hardware-aware metrics (latency vs accuracy trade-offs, memory footprint, throughput on reference hardware).
• Partner closely with research, simulation, product, and customer/partner teams to ensure outputs are usable by downstream systems and meet real deployment needs.
• Remain deeply hands-on in architecture reviews, model design, technical investigations, debugging critical issues, and evaluation of new approaches. This role requires active technical contribution, not only leadership.
• Help build and scale a high-performing perception engineering team from the ground up, hiring key talent, developing technical leaders, and establishing engineering standards, development processes, and a strong culture of technical excellence.
• Partner closely with customers to understand real-world challenges and translate them into scalable solutions.