Chief Leading Expert - Next-Gen Storage Media & AI Data Infrastructure

As a core leader within Huawei's Zurich Storage Team, you will spearhead the research and architectural evolution of storage media systems (NAND/SSD, tape/cold media, and emerging media) optimized for the AI era. Your mission is to redefine the trade-offs between cost, performance, and scale across warm/cold data, while enabling AI training/inference pipelines to run efficiently, reliably, and economically. You will drive innovation in Near-Data Computing (NDC) and multi-tier heterogeneous storage, shaping the backbone of future AI-ready data infrastructures.

• Define the long-term technology roadmap for warm and cold storage systems, with explicit focus on AI data lifecycle (data ingest, feature/embedding generation, vector indexing, retrieval, inference).
• Lead industry insights to anticipate convergence of controller innovation and software-hardware co-design.
• Research and develop next-generation storage architectures that reduce systemic bottlenecks in high-latency media through advanced data placement, IO scheduling, caching, and intelligent task orchestration.
• Translate media constraints (latency, endurance, streaming characteristics, cost curves) into system-level architecture decisions.
• Bridge AI workloads and storage: optimize throughput, tail latency, and reliability for large-scale training and inference.
• Design storage-aware approaches for RAG pipelines (e.g., data tiering for embedding stores and vector indexes, prefetching, context/KV reuse, and hot set management across tiers).
• Lead strategic technical cooperation with top-tier European universities and research institutes.
• Foster an open research environment to translate breakthroughs into prototypes and product-facing technologies.