Senior Quality Systems Engineer – Data Center

Qualcomm•San Diego, CA

5d•$94,600 - $141,800

About The Position

Qualcomm's Data Center business, anchored by the Qualcomm Dragonfly™ AI inference platform, is scaling rapidly to serve Hyperscaler and cloud customers with rack-scale AI acceleration and custom silicon solutions. This role is central to adapting and maturing the Quality Management System as the DC business pursues ISO 9001 certification and expands into increasingly rigorous customer quality expectations. This role is a senior Quality Systems leader responsible for ensuring scalable, standards-driven quality governance across complex electronic products/platforms. The position partners closely with engineering, program management, operations, and executive leadership to embed quality into the product lifecycle, enable expansion into new Datacenter market segments, and evolve the Quality Management System (QMS) to support long-term business growth. The role requires strong manufacturing electronics fundamentals, broad quality systems expertise, and the ability to influence a highly matrixed organization.

Requirements

Bachelor's degree in engineering or a related technical field (electronics background required).
Demonstrated experience planning and executing ISO 9001-based internal and external audits; working knowledge of IPC-A-610 for electronic hardware acceptability standards in server/data center hardware.
Experience supporting product traceability programs and lot/component genealogy requirements in complex hardware supply chains.
Familiarity with Hyperscaler quality program requirements (e.g., OCP — Open Compute Project — qualification standards, customer-specific quality agreements, and product qualification workflows for server/rack platforms.
Five plus years of experience in quality systems, supporting complex electronic products.
Strong understanding of product development lifecycles, validation, and release processes.
Proven ability to lead structured problem solving and root cause analysis for systemic issues.
Excellent written, verbal, and presentation skills.
Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience.
Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 1+ year of Quality Engineering or related work experience.
PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field.

Nice To Haves

Familiarity with PLM, ERP, MES systems.
Awareness of product environmental governance requirements.
Black Belt/Six Sigma certification.
ASQ (e.g., CQE or CRE) or ISO Lead Auditor certification or equivalent.

Responsibilities

Lead the development, implementation and continuous improvement of a QMS supporting mission-critical data center hardware systems utilizing structured methodologies (PDCA, Lean, Six Sigma).
Translate contractual obligations and quality specifications into internal quality flow-downs to design, manufacturing, and supplier teams.
Lead engineering audits/assessments across DC products, including documentation, design reviews, and stage-gate quality gates aligned with PRD/silicon development flows aligned with ISO-based, customer-specific requirements.
Translate Hyperscaler-specific contractual quality obligations (including customer quality agreements, warranty requirements, and epidemic defect triggers) into internal quality controls and supplier flow-downs.
Analyze quality data, assessment outcomes, and customer signals to identify enterprise level risks and trends; translate insights into improvements leveraging CAPA and Lessons Learned.
Build and maintain strong relationships with engineering and business teams to drive alignment on quality objectives, risk posture, and continuous improvement priorities.
Execute supporting product traceability programs and lot/component genealogy requirements in complex hardware supply chains.
Establish and maintain key metrics to drive continual improvement.