As a world-leading OEM, Mercedes-Benz seeks experts who are passionate and enthusiastic about applying AI technologies to the automotive industry. We are specifically looking for self-motivated and knowledgeable architect with a strong background in computer vision, large language models, and their practical applications to join our team.
As a Lead AI Architect, you will lead the design, development, and continuous evolution of an end-to-end, vehicle-cloud integrated AI architecture spanning major vehicle domains, including cockpit, ADAS, body, chassis, and powertrain. This role is highly hands-on, focusing on AI algorithm industrialization, use case deployment, model adaptation, and delivery to mass production. You will bridge cloud AI, vehicle-side embedded AI, and cross-domain software to build robust, deployable, and vehicle-qualified AI systems.
Task Description
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Own the end-to-end vehicle-cloud integrated AI architecture, covering the cloud AI platform, on-board AI deployment, cross-domain AI orchestration, closed-loop data, and model lifecycle management.
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Drive AI use case implementation end-to-end, from requirements definition and technical design through model selection, data preparation, training and fine-tuning, to vehicle-side optimization, integration, calibration, and mass-production release.
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Design and optimize cloud-side AI capabilities, including model evaluation, training data preparation, fleet-based model updates, and vehicle-cloud collaborative inference.
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Lead on-board AI model adaptation, including quantization, latency optimization, memory tuning, and power/thermal optimization for automotive SoCs and domain controllers.
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Translate research results, open-source models, and prototype algorithms into stable, reliable, automotive-grade AI functions that perform under real-world conditions.
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Collaborate closely with cloud platform, hardware, software and testing teams to align architecture, resolve blockers, and accelerate AI feature delivery.
