Senior Manager, Npi Quality Engineering – Server & Rack Solutions

AMD AMD · Semiconductors · Secaucus, NJ · Engineering

This role is for a Sr. Manager of Quality Engineering at AMD, focusing on AI server technologies for Mega Data Center Customers. The primary responsibility is to lead a CQE team through the New Product Introduction (NPI) lifecycle, ensuring quality strategy, technical resolution of hardware failures, risk mitigation, and team development. The role involves close collaboration with engineering, global ODMs, and key customers to solve complex technical issues before mass production. While the company is involved in AI, this specific role is focused on the quality engineering of hardware infrastructure supporting AI, rather than direct AI model development or research. There is an interest in leveraging AI tools to optimize quality workflows.

What you'd actually do

  1. Orchestrate NPI Execution: Lead the end-to-end quality strategy for server and rack solutions, ensuring rigorous phase-gate checkpoints and factory engagements.
  2. Drive Technical Resolution: Take ownership of hardware failure monitoring and triage, ensuring all engineering build issues are tracked and driven to definitive root cause & corrective action.
  3. Strategic Risk Mitigation: Identify system-level quality risks early in the lifecycle, developing robust containment and recovery plans to protect the production timeline.
  4. Team Development & Coaching: Build and mentor a high-performing CQE team, setting clear technical benchmarks and fostering a culture of continuous learning and career progression.
  5. Stakeholder & Escalation Management: Serve as the senior voice for NPI quality in customer, supplier, and executive reviews, aligning complex build and rework schedules across the supply chain.

Skills

Required

  • Leadership
  • Quality Engineering
  • NPI Lifecycle Management
  • Hardware Failure Triage
  • Problem-solving Methodologies
  • Cross-functional Collaboration

Nice to have

  • Systems Expertise in server and rack-level solutions
  • Experience with AI tools to optimize quality workflows
  • BS degree in Electrical Engineering, Mechanical Engineering, or related field
  • MS or MBA degree

What the JD emphasized

  • AI server technologies
  • Mega Data Center Customers
  • NPI work
  • enterprise-level hardware
  • supply chain