Green Card Supplier Quality Manager Jobs
Supplier Quality Manager jobs with green card sponsorship are filed under EB-2 or EB-3, requiring PERM labor certification before the I-140 petition. Employers in manufacturing, automotive, and aerospace regularly sponsor this role. Priority-date backlogs vary by country of birth, so starting the sponsorship process early matters.
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Get Access To All JobsINTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
ROLE AND RESPONSIBILITIES
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).
- Support cross fab technology transfer activities in terms of new technology Bill of Materials (BOM) and driving global specifications alignment.
Supplier Development and Excursion Management
- Lead the definition and alignment of global material specifications for Target and Specs Gas categories.
- 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 Quality Roadmap (e.g., predictive excursion detection, automated SPC monitoring, anomaly detection).
- Deploy Quality programs, lessons learnt and benchmark to/ with suppliers to ensure controls and preventive measures are in place to support 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 in Supplier Change Management (SCM).
- Oversee resolution of globally impacting Target and Spec Gas 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 the status and progress of all 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 clear, measurable personal development and performance objectives aligned with departmental and corporate priorities.
- Leverage guidance from coaches and mentors to build the skills necessary for your next career steps.
- Manage time and resources efficiently to maximize productivity.
- Continuously reflect on your performance, approach, and goals to drive improvement.
- Demonstrate a strong commitment to quality in all aspects of your work.
- Deliver assignments with accuracy, thoroughness, and timeliness.
- Show initiative and self-motivation in completing tasks, training, and projects.
- 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 subject matter expert 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.
Education
Master’s degree or bachelor’s Degree in Chemical/ Chemistry/ Material Engineering or Related Field.
Experience
- Minimum 5 years of experience in the semiconductor industry or a high-volume manufacturing environment is highly advantageous.
- Proven experience in supplier quality management, with the ability to effectively manage and drive performance improvement across global suppliers and international supply chains.
- Demonstrated ability to collaborate effectively with cross-functional and global teams, including Manufacturing, Procurement, Engineering, Quality, and Supply Chain organizations.
- Strong problem-solving, stakeholder management, and communication skills with the capability to influence and drive quality improvements across a global supplier network.
- Exposure to incoming material control (IQC), or manufacturing quality processes is an added advantage. Experience in semiconductor manufacturing processes, wafer fabrication, or related process engineering disciplines is preferred.
- Basic familiarity with ISO 9001 and IATF 16949 quality management system standards and their application in manufacturing environments.
- Ability to utilize data analytics and AI insights to assess material risks, performance trends, and variability.
- Experience leveraging digital/AI-driven tools to improve quality performance, yield, or supplier management is a plus.
QUALIFICATIONS
- Proficient in Microsoft Office Suite (PowerPoint, Word, Excel, OneNote).
- Experience with data visualization tools (e.g., Power BI) and AI-assisted productivity tools to generate insights, dashboards, and executive summaries.
- Demonstrated ability to work independently in a dynamic, fast-paced environment.
- Ability to apply data-driven and AI-assisted decision-making with minimal supervision.
- Effective communicator with ability to engage stakeholders at all levels.
- Skilled in translating AI/data insights into clear, actionable recommendations for technical and non-technical audiences.
- Strong analytical capabilities, with hands-on experience in:
- Measurement System Analysis (MSA) and calibration
- Statistical Process Control (SPC) and FMEA
- Problem-solving methodologies
- Quality management systems
- Application of advanced analytics or AI/ML techniques (e.g., anomaly detection, predictive modeling, trend analysis) to enhance root cause analysis and process control.
- AI/ML & Digital Experience (Preferred)
- Experience applying AI/ML models or advanced analytics to quality analytics, supplier performance monitoring, or excursion management.
- Familiarity with data pipelines, automation, and digital dashboards for real-time monitoring and decision-making.
- Demonstrated ability to integrate multiple data sources (supplier, fab, metrology) to drive insights and continuous improvement.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
SUSTAINABILITY
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
ROLE AND RESPONSIBILITIES
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).
- Support cross fab technology transfer activities in terms of new technology Bill of Materials (BOM) and driving global specifications alignment.
Supplier Development and Excursion Management
- Lead the definition and alignment of global material specifications for Target and Specs Gas categories.
- 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 Quality Roadmap (e.g., predictive excursion detection, automated SPC monitoring, anomaly detection).
- Deploy Quality programs, lessons learnt and benchmark to/ with suppliers to ensure controls and preventive measures are in place to support 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 in Supplier Change Management (SCM).
- Oversee resolution of globally impacting Target and Spec Gas 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 the status and progress of all 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 clear, measurable personal development and performance objectives aligned with departmental and corporate priorities.
- Leverage guidance from coaches and mentors to build the skills necessary for your next career steps.
- Manage time and resources efficiently to maximize productivity.
- Continuously reflect on your performance, approach, and goals to drive improvement.
- Demonstrate a strong commitment to quality in all aspects of your work.
- Deliver assignments with accuracy, thoroughness, and timeliness.
- Show initiative and self-motivation in completing tasks, training, and projects.
- 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 subject matter expert 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.
Education
Master’s degree or bachelor’s Degree in Chemical/ Chemistry/ Material Engineering or Related Field.
Experience
- Minimum 5 years of experience in the semiconductor industry or a high-volume manufacturing environment is highly advantageous.
- Proven experience in supplier quality management, with the ability to effectively manage and drive performance improvement across global suppliers and international supply chains.
- Demonstrated ability to collaborate effectively with cross-functional and global teams, including Manufacturing, Procurement, Engineering, Quality, and Supply Chain organizations.
- Strong problem-solving, stakeholder management, and communication skills with the capability to influence and drive quality improvements across a global supplier network.
- Exposure to incoming material control (IQC), or manufacturing quality processes is an added advantage. Experience in semiconductor manufacturing processes, wafer fabrication, or related process engineering disciplines is preferred.
- Basic familiarity with ISO 9001 and IATF 16949 quality management system standards and their application in manufacturing environments.
- Ability to utilize data analytics and AI insights to assess material risks, performance trends, and variability.
- Experience leveraging digital/AI-driven tools to improve quality performance, yield, or supplier management is a plus.
QUALIFICATIONS
- Proficient in Microsoft Office Suite (PowerPoint, Word, Excel, OneNote).
- Experience with data visualization tools (e.g., Power BI) and AI-assisted productivity tools to generate insights, dashboards, and executive summaries.
- Demonstrated ability to work independently in a dynamic, fast-paced environment.
- Ability to apply data-driven and AI-assisted decision-making with minimal supervision.
- Effective communicator with ability to engage stakeholders at all levels.
- Skilled in translating AI/data insights into clear, actionable recommendations for technical and non-technical audiences.
- Strong analytical capabilities, with hands-on experience in:
- Measurement System Analysis (MSA) and calibration
- Statistical Process Control (SPC) and FMEA
- Problem-solving methodologies
- Quality management systems
- Application of advanced analytics or AI/ML techniques (e.g., anomaly detection, predictive modeling, trend analysis) to enhance root cause analysis and process control.
- AI/ML & Digital Experience (Preferred)
- Experience applying AI/ML models or advanced analytics to quality analytics, supplier performance monitoring, or excursion management.
- Familiarity with data pipelines, automation, and digital dashboards for real-time monitoring and decision-making.
- Demonstrated ability to integrate multiple data sources (supplier, fab, metrology) to drive insights and continuous improvement.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
SUSTAINABILITY
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
See all Green Card Supplier Quality Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Supplier Quality Manager Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Supplier Quality Manager
Align your credentials with EB classification
EB-2 requires an advanced degree or a bachelor's degree plus five years of progressive experience in quality management. Document each role with measurable outcomes, supplier audit results, and corrective action records before your employer initiates PERM.
Target manufacturers with active PERM history
Search Migrate Mate to find employers with verified green card sponsorship history for Supplier Quality Manager roles, so you're applying to companies already familiar with the PERM recruitment and prevailing wage requirements for this occupation.
Verify your prevailing wage tier early
Use the OFLC Wage Search to look up prevailing wages for SOC code 11-3051 in your target metro area before accepting an offer. Your offered salary must meet the DOL-determined wage level, and misalignment delays PERM filing significantly.
Understand what the PERM recruitment test requires
Your employer must run a DOL-mandated recruitment campaign, including newspaper ads and internal postings, and demonstrate no qualified U.S. workers applied. Any documentation gap during this stage can trigger a PERM audit, so work with your employer's counsel to keep records complete.
Secure your priority date before switching employers
Once your employer's I-140 is approved, that priority date is portable to a new employer's petition. If your I-485 has been pending 180 days or more, AC21 portability also lets you move to a same or similar Supplier Quality Manager role without restarting the green card process.
Review your O*NET occupation profile before interviews
O*NET lists quality systems oversight, supplier audits, and corrective action planning as core duties for this occupation. Framing your resume and interview answers around these specific functions helps employers confirm the role qualifies for EB-2 or EB-3 sponsorship during the PERM job description drafting stage.
Green Card Supplier Quality Manager: Frequently Asked Questions
Can a Supplier Quality Manager role qualify for both EB-2 and EB-3 green card sponsorship?
Yes. If the position requires an advanced degree or a bachelor's degree plus five years of progressive quality management experience, your employer can file under EB-2. If it requires a bachelor's degree alone or at least two years of skilled experience, EB-3 applies. The employer's attorney drafts the job description to match the actual minimum requirements before filing PERM with DOL.
How is green card sponsorship different from H-1B sponsorship for this role?
H-1B visa is a temporary status requiring renewal every three years, with no path to permanence on its own. Green card sponsorship through EB-2 or EB-3 leads to lawful permanent residence. The process includes PERM labor certification filed with DOL, an I-140 immigrant petition with USCIS, and then adjustment of status or consular processing. There is no lottery, but per-country priority-date backlogs mean nationals from high-demand countries can wait years before a visa number becomes available.
How do I find employers who sponsor Supplier Quality Manager roles for green cards?
Migrate Mate lists employers with verified green card sponsorship history for manufacturing and quality management roles, letting you focus your applications on companies already experienced with PERM filing. Targeting these employers directly shortens the path from offer to sponsorship initiation, since the employer's HR and legal teams are already familiar with the prevailing wage and recruitment requirements.
What does the PERM recruitment test mean for Supplier Quality Manager candidates?
Before DOL certifies the PERM application, your employer must advertise the role and demonstrate that no qualified U.S. workers applied. You are not involved in this process, but it means sponsorship cannot begin immediately after your offer. The recruitment window typically runs 30 to 60 days, and any documentation gap can trigger an audit that extends the timeline further.
What happens to my green card case if I change employers mid-process?
If your I-140 has been approved, your priority date is portable and can be used with a new employer's petition for the same or a similar Supplier Quality Manager role. If your I-485 has been pending 180 days or more, AC21 portability lets you change employers in a same or similar occupation without restarting the adjustment of status process. USCIS must be notified of the change.