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Description and Requirements
Key Responsibilities
Represent Quality throughout Tier 2 CSP product introductions, from development through launch and early field stabilization.
Facilitate CSP NPI activities and participate in relevant ODT reviews alongside Product Engineering and other cross-functional teams.
Apply standard development processes, including EV, DV PV, while building knowledge of CSP-specific products, customers and execution requirements.
Assess product, manufacturing, reliability, firmware, serviceability, diagnostic and support readiness at applicable program milestones.
Identify risks, challenge incomplete evidence, assign ownership and drive cross-functional actions to closure.
Support Reliability by gathering, validating and organizing component, system, rack and predecessor-product data.
Monitor early field performance, coordinate follow-up on emerging issues and incorporate lessons learned into future programs.
Help define and improve the CSP NPI Quality process for server, GPU and rack-level products.
Provide clear readiness assessments, risk summaries, program updates and escalation recommendations.
Required Qualifications & Skills
Bachelor’s degree in Industrial Engineering, or a related technical discipline, or equivalent relevant experience.
Experience in NPI, product development, quality, reliability, manufacturing, product engineering, or a related technical function.
Understanding of standard product-development and validation phases, including DV, EV and PV.
Strong technical aptitude and ability to understand server, electronic component, GPU, rack-level, firmware, manufacturing, and quality concepts.
Strong program-execution and risk-management skills, including the ability to manage actions, dependencies, milestones, and open risks.
Ability to review technical evidence, identify gaps, ask effective questions, and engage the appropriate subject-matter experts.
Strong data-analysis skills, with the ability to interpret component, system, quality, validation, reliability and field-performance data.
Working understanding of reliability principles and the ability to support assessments through accurate data collection, validation and documentation.
Ability to work effectively with limited historical data by identifying relevant predecessor products, documenting assumptions, and communicating associated risks.
Independent and proactive working style, with strong attention to detail and the ability to manage multiple programs.
Strong cross-functional communication skills and professional proficiency in English.