Senior/ Staff Engineer, Front End Labor Productivity

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

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.

You will drive measurable outcomes in labor productivity and annualized hour savings by implementing strategies focused on standardization, simplification, automation, and leveraging generative AI methodologies. These approaches will enable reductions in labor hours, enhance labor efficiency, shorten cycle times, and improve overall operating cadence.

Responsibilities

Program Management and Delivery

• Drive year over year improvement in Frontend (FE) labor productivity VAM/HC in support of the 5MORE productivity roadmap.
• Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes. Standardize tools, methods, and processes across sites to enable scalable and repeatable execution aligned with enterprise goals.
• Integrate labor initiatives across AI, automation, robotics, DREAM team, and innovation programs into a cohesive execution plan. Track, validate, and report productivity benefits including labor hour reduction, VAM/HC, and annualized savings in partnership with Site’s Labor Champions & Finance team.
• Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand.
• Provide governance support for SEAL and SWAT initiatives.
• Lead Labor SWAT initiatives to improve FE labor productivity and functional AI roadmap. Targeted actions address gaps, accelerate progress, and support overall productivity goals.

FE Network Productivity and Enablement

• Monitor labor performance metrics, identify gaps, benchmark best practices, and support performance recovery actions when needed.
• Enable cross site knowledge sharing to scale successful solutions and maximize network impact.
• Guide site and central teams to identify and prioritize productivity opportunities using AWMS workload data to convert effort into measurable time savings.
• Managing programs involving pipelines of AI, GenAI, automation, and low code solutions, including copilots, digital footprint, and workflow automation.
• Support development and execution of functional AI roadmaps across FE organizations with focus on reuse and scalability.
• Drive structured use case intake, value assessment, feasibility review, and deployment planning to ensure sustainable adoption.

Data Driven Insights and Reporting

• Develop KPI dashboards and management reporting to provide visibility into progress, adoption, and realized benefits.
• Translate data into actionable insights to support fact-based prioritization and decision making.
• Support workload forecasting, productivity baselining, and scenario modeling by coordinating requirements and validating outputs with stakeholders.

Requirements

• Degree in Engineering, Industrial Engineering, Statistics, or a related field
• At least 3+ years of experience in semiconductor operations.
• Strong program management skills (portfolio planning, governance, benefits realization, dependency management, change management).
• Preferred experience leading programs/projects with demonstrated outcomes in productivity, operational efficiency, or workforce/labor optimization.
• Working knowledge of GenAI concepts and delivery (use-case framing, prompt/workflow design basics, evaluation of value and risk, adoption metrics).
• Experience delivering automation and low-code solutions (e.g., Power Automate, Copilot Studio, UiPath, SQL or similar), including requirements-to-deployment lifecycle.
• Strong analytical capability (KPIs, dashboards, baseline/benefits tracking); able to translate data into decisions and execution plans.
• Excellent communication and stakeholder management skills across site, central, and executive audiences.
• Proficiency with Microsoft 365 (Excel/PowerPoint/Teams) and data visualization tools (e.g., Power BI).

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]

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.

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