Director, Quality and Reliability Engineering – AI Hardware

Highlights

• Own quality and reliability for AI hardware from ASICs to rack-scale clusters.
• Build world-class quality programs for first-gen rack products shipping in volume.
• Drive fault-tolerant design to meet AI datacenter availability requirements.

What they offer

• Equity
• Bonus

Ideal candidate

Seasoned hardware quality leader energized by hard problems and execution at data-center scale. You bring humility, collaboration, and a drive to embed reliability into design, supply chain, and customer success.

Requirements

• 15+ years in hardware quality and reliability engineering, including 5+ years leading multi-disciplinary teams
• BS/MS in EE/ME or a related engineering field
• Deep exposure to server-class systems, AI accelerators, or data center hardware
• Proven track record of building or scaling a QMS through high-volume ramps
• Hands-on experience across supplier, manufacturing, and customer quality, including ODMs and CMs
• Component engineering experience: qualification, AVL management, second sourcing, and lifecycle management
• Command of reliability fundamentals (MTBF, acceleration models, RDT/ORT, system-, rack-, and cluster-level availability) and quality tools (8D, 5-Why, FMEA, SPC, DOE)
• ISO 9001 lead auditor experience or equivalent; ASQ CQE/CRE and PLM (Arena or Agile) familiarity preferred
• Strong executive presence with customers, suppliers, and internal stakeholders