CSP NPI Quality Engineer, HW

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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.