Director, Quality and Reliability Engineering - AI Hardware
D MatrixJob Title
Director, Quality and Reliability Engineering - AI Hardware
Role Summary
Lead quality and reliability for AI hardware platforms (ASICs, cards, servers, racks, clusters), owning product, supplier, manufacturing, and customer quality across design, production, and field operations. Operate at the intersection of hardware engineering, manufacturing, supply chain, and customers to embed quality and reliability into decisions and delivery.
Experience Level
Senior - requires 15+ years in hardware quality and reliability engineering with 5+ years leading multi-disciplinary teams.
Responsibilities
Accountable for quality, reliability, supplier and manufacturing programs, and customer-facing quality activities; examples include:
- Establish and maintain the Quality Management System (QMS) and audit readiness (ISO 9001 or equivalent).
- Define and execute reliability programs: qualification, RDT, MTBF, ORT, and fault-tolerant design to meet datacenter availability requirements.
- Implement supplier quality and manufacturing quality programs across ODMs and CMs, including audits, process control, yield, DPPM, and NPI readiness.
- Lead component engineering: qualification, AVL governance, second-sourcing, and lifecycle management for board-level and higher assemblies.
- Design and run RMA, reverse logistics, and failure analysis processes with closed-loop feedback into design and manufacturing.
- Define quality KPIs and dashboards (yield, DPPM, RMA rate, MTBF, CAPA closure) and report independently to executive leadership.
- Serve as the quality authority for product release, shipment readiness, customer audits, and escalations; build and develop the quality organization for volume Rack Scale shipments.
Requirements
Key technical and leadership requirements (must-haves first, then preferred).
- Must-have: 15+ years in hardware quality and reliability engineering; 5+ years leading multi-disciplinary teams.
- Must-have: Hands-on experience across supplier, manufacturing, and customer quality with ODMs and contract manufacturers.
- Must-have: Deep exposure to server-class systems, AI accelerators, or data center hardware.
- Must-have: Proven track record building/scaling a QMS through high-volume production ramps.
- Must-have: Command of reliability fundamentals (MTBF, acceleration models, RDT/ORT, system/rack/cluster availability) and quality tools (8D, 5-Why, FMEA, SPC, DOE).
- Preferred: Experience with ISO 9001 audits, ASQ CQE/CRE certifications, and familiarity with PLM systems (Arena, Agile).
Education Requirements
BS or MS in Electrical Engineering, Mechanical Engineering, or a related engineering field preferred. Preferred certifications/credentials: ISO 9001 lead auditor experience and ASQ CQE/CRE; familiarity with PLM systems (Arena, Agile).
About the Company
Company: D Matrix
Headquarters: Santa Clara, CA, USA
d-Matrix develops hardware and software solutions to accelerate generative AI workloads, including firmware, compilers, runtimes and inference serving. The company focuses on performance, numerical correctness, and automated testing for AI inference systems.
