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Develop and standardize package reliability processes for new and existing products. Ensure hardware readiness for reliability tests (Temperature Cycling, HAST, HTS), define test methodologies per JEDEC, perform DOE and CpK analysis, troubleshoot deviations, lead process improvements, train operations, and coordinate failure analysis. Apply AI to improve reliability processes and operational efficiency while collaborating cross-functionally to meet qualification and customer requirements.

Lead and improve process and equipment for semiconductor manufacturing, driving change and enhancing performance through data analysis and collaboration.

Manage supplier relationships, performance, procurement processes, negotiations, budgeting, cost-saving initiatives, and process improvements for designated materials categories. Support sourcing strategies, supplier audits, cash-flow management, and supply-base optimization while serving as a procurement consultant and leveraging artificial intelligence.

Manage design, construction, and commissioning of Ultra-Pure Water and industrial water systems for a semiconductor facility. Oversee third-party designers and vendors, review P&IDs/3D models, ensure regulatory and performance compliance (EPA, Clean Water Act, SEMI, ASME/BPE), perform QA/risk assessments, coordinate commissioning and startup using BIM and control systems, and apply AI-enabled tools to automate tasks and improve productivity.

The role involves validating and characterizing advanced NAND products using silicon validation techniques, automation, and applied AI/ML methods. Responsibilities include designing validation flows, conducting failure analysis, and improving test efficiency.

Performs electrical and physical failure analysis for semiconductor device anomalies, customer returns, and qualification failures. Uses advanced microscopy, imaging, probing, and testing tools, along with Bash and Python in Unix environments, to identify failure mechanisms. Collaborates with process and product teams, develops improved analysis techniques, maintains lab safety and quality standards, prepares reports, presents findings, guides technicians, and supports automation, analytics, and AI-enabled workflow improvements.

Develops, optimizes, and sustains semiconductor wafer fabrication processes to improve yield, quality, cost, throughput, and productivity. Leads process-step improvements, continuous improvement projects, process qualification, and new technology readiness. Uses SPC, FDC, APC, FMEA, 8D, RCA, and data analysis to identify root causes, prevent recurring issues, reduce downtime, and detect process drift. Collaborates with equipment, manufacturing, integration, and quality teams during high-volume production ramp and capacity expansion.

This page is dedicated to administrative procedures for Micron Technology’s UPWARDS Summer Internship Program. It explicitly states that it is not a job posting and cannot be used to apply. No role responsibilities, qualifications, salary, travel, or clearance requirements are provided.

Conduct a five-month engineering project optimizing Chemical Mechanical Planarization processes and characterizing equipment in semiconductor manufacturing. Analyze process, metrology, equipment, and manufacturing data using statistical and AI-assisted methods; assess process capability and qualification results; and develop a dashboard, analytics model, or automation tool. Collaborate with cross-functional stakeholders and deliver technical reports, presentations, engineering recommendations, and documented improvement results focused on stability, yield, cost, productivity, or data accessibility.

Five-month internship developing AI and machine learning solutions for semiconductor facilities engineering. Responsibilities include analyzing operational and sensor data, building predictive maintenance and anomaly-detection prototypes, creating dashboards and automation workflows, and developing AI-enabled knowledge-management tools. The intern will collaborate with facilities engineers, apply software-engineering principles, document findings, and present recommendations and business value.