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Micron Technology

Makes memory and storage chips for AI and PCs

Diffusion Engineer - Diff

Process EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Materials Science, Chemical Engineering, Physics, or a related technical discipline is required.
  • Semiconductor manufacturing, process engineering, or equipment engineering experience is required.
  • Strong problem-solving, data analysis, and technical troubleshooting skills are required.
  • Ability to manage multiple priorities and execute projects independently is required.
  • Strong written and verbal communication skills are required.

Responsibilities

  • Drive Diffusion process and equipment performance improvements to support manufacturing objectives.
  • Identify and implement opportunities to improve Manufacturing Availability, Utilization, Throughput, WPD, and RPT.
  • Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies.
  • Develop innovative solutions to improve equipment capability, reliability, and productivity.
  • Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives.
  • Analyze manufacturing constraints and develop solutions to improve fab output.
  • Identify and execute productivity projects that improve cycle time, throughput, and equipment effectiveness.
  • Support capacity planning and bottleneck reduction activities.
  • Partner with Manufacturing, PIE, Yield, MAE, and Global Central Teams to deliver business objectives.
  • Drive alignment across functional teams to implement technical solutions.
  • Provide technical recommendations to leadership and stakeholders based on data-driven analysis.
  • Work with equipment suppliers to develop and deploy hardware, software, and productivity improvements.
  • Drive supplier accountability to resolve technical issues and improve tool performance.
  • Benchmark industry best practices and identify opportunities for competitive advantage.
  • Utilize data analytics and engineering methodologies to identify improvement opportunities.
  • Support technology transfers, process conversions, and new capability implementation.
  • Create standard methodologies and best practices for Diffusion operations.
  • Share technical knowledge and mentor junior engineers as needed.
  • Leverage AI-enabled tools and advanced analytics to accelerate engineering problem solving, improve productivity, and enhance decision-making.
  • Utilize Microsoft Copilot and approved enterprise AI platforms to analyze large data sets, generate insights, summarize technical information, and improve engineering efficiency.
  • Apply data science, machine learning, and statistical techniques to identify manufacturing improvement opportunities and predict equipment or process performance trends.
  • Partner with Digital Transformation and Manufacturing teams to develop and implement AI-driven solutions for excursion detection, predictive maintenance, capacity optimization, and operational excellence.
  • Drive adoption of digital engineering best practices, automation, and AI-enabled workflows across the Diffusion organization.
  • Ensure responsible use of AI by adhering to Micron's information security, data privacy, and AI governance requirements.

Desired Qualifications

  • Experience in Diffusion process or equipment engineering is preferred.
  • Experience with productivity improvement programs, manufacturing optimization, and capacity management is preferred.
  • Knowledge of statistical analysis, Design of Experiments (DOE), Statistical Process Control (SPC), and structured problem-solving methodologies is preferred.
  • Experience working with semiconductor equipment suppliers is preferred.
  • Proven ability to drive cross-functional technical projects from concept through implementation is preferred.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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