Our Client Currently looking for Chief Leading Expert – Next-Gen Storage Media & AI Data Infrastructure

Key Responsibilities

Strategic Technical Leadership

• Define long-term technology roadmaps for multi-tier storage systems, including warm and cold data layers.
• Align storage architectures with the full AI data lifecycle, including:
  • Data ingestion
  • Feature and embedding generation
  • Vector indexing and retrieval
  • Model inference
• Anticipate industry trends and guide convergence of hardware and software innovations.

Storage Architecture Innovation

• Design next-generation storage architectures addressing bottlenecks in high-latency and large-scale data systems.
• Develop advanced techniques for:
  • Data placement and layout
  • I/O scheduling and orchestration
  • Intelligent caching strategies
• Translate physical media characteristics (latency, endurance, throughput, cost) into optimized system designs.

AI-Driven Storage Optimization

• Bridge storage systems with AI workloads to improve:
  • Throughput
  • Tail latency
  • Reliability
• Design storage-aware optimizations for modern AI pipelines, including:
  • Retrieval-augmented generation (RAG) systems
  • Embedding storage and vector indexing
  • Data tiering and hot/cold data management
  • Prefetching and cache reuse strategies

Ecosystem Development & Collaboration

• Lead collaboration with academic institutions and research organizations.
• Foster innovation through partnerships and open research initiatives.
• Translate research breakthroughs into prototypes and production-ready technologies.

Required Qualifications

• 15+ years of experience in storage systems, including:
  • Solid-state storage (e.g., NAND/SSD)
  • Distributed or cloud storage systems
  • Cold or archival storage technologies
• Proven track record of leading large-scale, high-impact technical projects.

Technical Expertise

• Strong understanding of AI infrastructure, including:
  • Large model inference systems
  • Cache management strategies
  • Vector search and retrieval systems
• Deep expertise in at least one storage domain, with working knowledge of others:
  • Flash-based storage
  • Cold storage systems
  • Emerging non-volatile memory technologies
• Advanced knowledge of storage system design, including:
  • Data layout and classification
  • Workload profiling
  • Tiering strategies
  • I/O path optimization
  • Scheduling and orchestration

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