Director, Quality and Reliability Engineering – AI Hardware
Core
Own product, supplier, manufacturing, and customer quality, reliability engineering, and component engineering for AI hardware platforms spanning ASIC, cards, servers, racks, and clusters.
Role type
Director, Quality and Reliability Engineering (AI Hardware)
Builds
High-performance AI systems deployed at data center scale (Rack Scale products)
Domain
AI Hardware / Data Center Infrastructure
Deliverable
production ML models
Required skills
Quality Management System (QMS) design and audit readiness, Product Quality and Reliability Engineering (qualification, RDT, MTBF, ORT), Supplier Quality management, Manufacturing Quality control, Customer Quality (RMA, failure analysis), Component Engineering (qualification, AVL, second sourcing), Reliability fundamentals (MTBF, acceleration models), Quality tools (8D, 5-Why, FMEA, SPC, DOE), Executive reporting
Preferred skills
ISO 9001 lead auditor experience, ASQ CQE/CRE certification, PLM (Arena or Agile) familiarity
Technologies
ASIC, Server-class systems, AI accelerators, Data center hardware
Responsibilities
Build and scale the QMS including Control Plans and CAPA governance, Design and run RMA and failure analysis processes, Drive reliability programs and fault-tolerant design, Establish supplier and manufacturing quality programs, Lead Component Engineering for board-level products, Define quality KPIs and dashboards, Serve as the quality voice in product release and customer audits
Seniority
Director, hands-on IC with team leadership
