Micron Technology

Spec Gas/ Specs Chem Global Supplier Quality Engineering (SQE) Engineer

Micron Technology • $100K — $120K *
Boise, ID 83709In-Person
Manufacturing & Automotive
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years in materials quality or related field
  • Expertise in AI/ML analytics and risk assessment
  • Strong background in supplier quality management
  • Experience with cross-functional collaboration
  • Proficient in data visualization and reporting tools
  • Ability to develop and implement quality standards

Responsibilities

  • Collaborate with TD team on FOAK materials quality readiness
  • Leverage AI/ML for risk assessment and qualification efforts
  • Lead quality risk assessments and develop mitigation strategies
  • Facilitate global material specifications alignment
  • Utilize data-driven insights for supplier capability and sourcing
  • Conduct audits on new suppliers and materials
  • Oversee global supplier quality performance metrics

Benefits

  • Opportunities for career growth and development
  • Work on cutting-edge AI and ML technologies
  • Collaborate with a global team of experts
  • Access to training and mentorship programs
  • Engagement in innovative projects that drive industry standards
Full Job Description
Technology Development Phase
Materials Quality Readiness
  • Collaborate with the TD team on First of a Kind (FOAK) Materials Quality Readiness, Supplier Quality Programs, and Specification definition-instrumental in ensuring the success of new technode development.
  • Leverage AI/ML-driven analytics to assess FOAK material risks, predict failure modes, and accelerate qualification readiness using historical and real-time data.
  • Participate, support, and recommend from a Quality perspective on FOAK materials sourcing strategies, including business continuity, benchmarking, new markets, and Quality capability assessment.
  • Utilize data-driven insights and predictive modeling to enhance supplier capability assessments and sourcing decisions.
  • Support cross-fab technology transfer activities regarding New Technology BOM and drive supplier Quality programs to address Critical Concerns About New, Unique, Different, and Difficult materials.
  • Lead cross-functional Category Strategy Team meetings to fan out lessons learned from HVM issues to R&D, align on FOAK materials strategy, ensure closed-loop communication, and prevent recurrence of issues globally.
  • Apply AI-enabled knowledge management systems to systematically capture, classify, and disseminate lessons learned across global sites.
HVM Phase
Sourcing, Selection, and Qualification
  • Lead quality risk assessments and implement mitigation strategies to support qualification activities.
  • Deploy AI-based risk scoring models and digital dashboards to prioritize qualification risks and drive faster decision-making.
  • Provide quality-focused input on sourcing and segmentation strategies, including business continuity planning, benchmarking, and supplier selection.
  • Incorporate advanced analytics and AI-assisted scenario modeling into RFQ/RFI and supplier selection processes.
  • Conduct technical risk assessment audits for new suppliers and materials to evaluate capability and readiness for HVM.
  • Leverage digital audit tools and AI-assisted pattern recognition to identify systemic risks and hidden gaps.
  • Establish, communicate, and ensure compliance with Supplier Requirements Standards (SRS).
Supplier Development and Excursion Management
  • Lead the definition and alignment of global material specifications for Specs Gas & Specs Chem.
  • Support development of smart specifications by integrating AI-driven process capability insights and predictive limits.
  • Support Material Category Leads in shaping Category Quality Strategy, including Quality Roadmap and Defense Line Program.
  • Embed AI/ML use cases into the Quality Roadmap (e.g., predictive excursion detection, automated SPC monitoring, anomaly detection).
  • Implement quality programs, benchmarking, and preventive controls aligned with Shift-Left Strategy.
  • Facilitate regular Quality and Technical Review (QTR) meetings with suppliers.
  • Introduce data visualization and AI-assisted insights into QTRs to drive fact-based discussions and proactive actions.
  • Manage supplier and sub-supplier changes through SCM process.
  • Oversee resolution of globally impacting photochemical quality issues.
  • Utilize AI-driven root cause analysis tools (e.g., pattern mining, correlation analytics) to accelerate issue resolution.
  • Collaborate with OCT MTE, Operations, and Facility teams for deep-dive investigations and implement corrective/preventive actions.
  • Cascade lessons learned globally to ensure closed-loop prevention.
  • Define, track, and monitor monthly supplier quality performance metrics and SRS compliance.
  • Develop automated dashboards and AI-enabled performance monitoring systems for real-time supplier scorecards and predictive alerts.
  • Continuously improve supplier quality processes to enhance productivity and efficiency.
  • Partner with Procurement on supplier evaluations using quality metrics.
  • Enable data integration across systems and apply AI analytics to drive objective, data-driven supplier decisions.
Communication & Presentation
  • Provide weekly updates on supplier-related activities.
  • Maintain strong communication with Global Quality, Procurement, OCT, and cross-functional teams.
  • Respond to issues promptly with appropriate escalation.
  • Keep stakeholders informed of progress, risks, and opportunities.
  • Leverage AI-assisted reporting tools to generate concise, data-driven insights and executive-ready summaries.
  • Utilize visualization platforms and automated storytelling tools to enhance clarity and decision-making.
Training and Development
  • Take ownership and accountability for achieving goals and completing actions.
  • Establish measurable development objectives aligned with corporate priorities.
  • Leverage coaching and mentorship for growth.
  • Manage time and resources effectively.
  • Reflect and continuously improve performance.
  • Demonstrate strong commitment to quality and deliver with accuracy and timeliness.
  • Show initiative and self-motivation.
  • Continuously build AI/data literacy (e.g., understanding ML models, data pipelines, and digital tools) to enhance quality engineering effectiveness.
  • Adopt and champion AI-enabled tools and digital workflows within SQE processes.
Growth Opportunity
  • Collaborate with global SQEs and cross-regional teams on category initiatives.
  • Serve as a key SME in supplier digitalization programs, contributing insights and guidance on AI/ML adoption in supplier quality.
  • Lead or participate in development of AI use cases (predictive quality, smart SPC, automated audits, supplier risk intelligence).
  • Build deep expertise in material criticality by acting as a primary liaison with suppliers.
  • Drive innovation in digital quality ecosystems, including data integration, automation, and AI-enabled supplier collaboration platforms.

About Micron Technology

Micron Technology Careers

Join the vibrant team at Micron Technology, a leader in memory and storage solutions, and propel your career into the future of technology. At Micron, we are committed to fostering a culture of diversity and innovation, offering a range of job opportunities that encourage professional growth and leadership development.

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Learn more about Micron Technology
Size
43,000 employees
Market Cap
$53.7 billion
Industry
Manufacturing & Automotive
Net Income
$2.9 billion
Founded
1978
5 Year Trend
+8.6%
Revenue
$22 billion
NASDAQ
MU
* Ladders Estimates

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