Lead AI Architect

About the Role As the Lead AI Architect, you will own the end-to-end vehicle-cloud integrated AI architecture spanning cockpit, ADAS, body, chassis, and powertrain. This is a hands-on role focused on AI algorithm industrialization, use-case deployment, model adaptation, and delivering automotive-grade AI systems to mass production. What You'll Do

• 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.
• Drive AI use-case implementation end-to-end, from requirements and technical design through model selection, data preparation, training and fine-tuning, to vehicle-side optimization, integration, calibration, and mass-production release.
• Design and optimize cloud-side AI capabilities, including model evaluation, training data preparation, fleet-based model updates, and vehicle-cloud collaborative inference.
• Lead on-board AI model adaptation, including quantization, latency optimization, memory tuning, and power/thermal optimization for automotive SoCs and domain controllers.
• Translate research results, open-source models, and prototype algorithms into stable, reliable, automotive-grade AI functions that perform under real-world conditions.
• Collaborate closely with cloud platform, hardware, software and testing teams to align architecture, resolve blockers, and accelerate AI feature delivery. What We're Looking For
• 5+ years of hands-on, production-oriented AI engineering experience, with a strong track record in deploying and industrializing AI algorithms for automotive or embedded systems. OEM or Tier-1 experience is highly preferred.
• Strong hands-on expertise in model training, fine-tuning, optimization, quantization, and deployment.
• Deep understanding of vehicle-cloud integrated AI systems, including cloud training pipelines, model management, on-board deployment, OTA model updates, and closed-loop data systems.
• Knowledge of multiple vehicle domains, including cockpit, ADAS/ADS, body, chassis, and powertrain etc., with a solid understanding of vehicle E/E architecture and the automotive software development process.
• Proven experience in on-vehicle integration, debugging, and problem-solving, with the ability to independently deliver AI features from prototype to mass production.
• Excellent cross-team communication, stakeholder alignment, and execution skills, with the ability to drive complex AI architectures into real products.
• Outstanding analytical and problem-solving skills.
• Technical leadership and ability to make decisions based on technical facts. Strong sense of ownership and drive. Good communication skills and ability to work in a collaborative, cross-functional environment.
• English proficiency in written and spoken form. Compensation & Benefits
• Benefits and perks: Events for Employees, Flextime, Hybrid Work possible, Health Benefits, Mobility, Discounts for Employees, Barrier-Free Workplace, Good Public Transport, Parking, In-house Doctor, Canteen, Café.