Principal Supply Chain Engineer

Conducts detailed technical assessments of supplier components at varying degrees of complexity and integration level. Collaborates with design and procurement teams to integrate supplier components into product development processes. Supports the New Product Introduction process by ensuring that components and supplier processes are fully validated and production-ready before launch. Assists in managing non-conforming components through processes like quarantine, rework, and disposition. Contributes to cross-functional projects aimed at improving product quality, reducing costs, and enhancing supply chain performance. Minimum Job Qualifications
Education and/or Experience
11 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering
OR
Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, Manufacturing Systems Engineering, Computer Science, Materials Science, Industrial Engineering, Manufacturing Engineering, or related field AND 7 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering
OR
Master's Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, Manufacturing Systems Engineering, Computer Science, Materials Science, Industrial Engineering, Manufacturing Engineering, or related field AND 5 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering
Job Skills:
Same as prior level.
Preferred Job Qualifications
Education and/or Experience
12 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering
OR
Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, Manufacturing Systems Engineering, Computer Science, Materials Science, Industrial Engineering, Manufacturing Engineering, or related field AND 8 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering
OR
Master's Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, Manufacturing Systems Engineering, Computer Science, Materials Science, Industrial Engineering, Manufacturing Engineering, or related field AND 6 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering
OR
Doctorate in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, Manufacturing Systems Engineering, Computer Science, Materials Science, Industrial Engineering, Manufacturing Engineering, or related field AND 4 years of experience in supplier quality engineering, product engineering, test development, software development, sourcing engineering, or component engineering.
Own GPU component quality performance across NPI, ramp, and sustaining production.
Track AFR, RMA, RPM, DPPM, failure pareto, supplier quality trends, and recurring field/factory failure modes.
Drive GPU-related RCCA with suppliers, sub-tier suppliers, manufacturing partners, and internal engineering teams.
Support NCAT/SSP technical assessments, material risk decisions, FA priority setting, and containment actions.
Partner with factory quality leads to determine whether GPU failure modes are contained before OK-to-Ramp / OK-to-Ship.
Review supplier manufacturing data, test coverage, qualification results, PCNs, and corrective action effectiveness.
Required Skills and Experience
Experience with semiconductor, GPU, CPU, accelerator, server, or high-complexity electronics quality.
Strong understanding of FA, RCCA, 8D, DPPM/RPM/AFR, MTBF, test escapes, and supplier quality management.
Ability to lead technical problem solving across supplier, engineering, manufacturing, and field teams.
Strong data analysis and executive-ready communication skills.
Preferred Qualifications
Experience with GPU platforms, AI infrastructure, HBM, high-speed interfaces, PCIe, NVLink, thermal/power interactions, or server integration.
Hands-on HBM and Power Delivery Network (PDN) know-how is preferred, including familiarity with GPU memory subsystems, power sequencing, voltage regulation, margining, and related failure modes.
Experience working with NVIDIA, AMD, semiconductor suppliers, ODMs, or contract manufacturers.
Success Measurements
GPU quality risks are identified early and driven through containment and RCCA.
Supplier corrective actions are technically sound and verified.
Factory and field failures are translated into clear quality actions.
OK-to-Ramp / OK-to-Ship decisions include a clear GPU component risk view.