Manufacturing Engineer

Micron

Boise (ID)

On-site

USD 85,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Paid time off
401(k)

Job summary

Micron Technology is seeking a data-driven Industrial Engineering/IE professional to apply statistical analysis to planning and forecasting models at our Boise facility. You will collaborate with Engineering to align metrics and strategic needs, and design cross-department projects for resource prediction and scheduling.

The role emphasizes data visualization, agile project management, and continuous improvement of fab capacity planning through audits and new modeling approaches.

Qualifications

  • Advanced degree or equivalent with data-driven planning focus.
  • Strong SQL/Python and data visualization skills.
  • Experience analyzing manufacturing and capacity data.

Responsibilities

  • Apply statistical analysis and IE concepts to planning and forecasting models.
  • Collaborate with Engineering stakeholders on metrics and strategic needs.
  • Design and coordinate complex cross-department projects for resource prediction and scheduling.
  • Use data techniques to improve quality and efficiency, and create new data solutions for forecasts.
  • Audit and improve manufacturing capacity information and modeling techniques.

Skills

Statistical analysis
IE concepts
SQL
Python
Tableau
Data visualization
Project management
Executive communication
MS Excel
Forecasting

Education

Master's degree in Industrial and Systems Engineering
Bachelor's Degree in Industrial and Systems Engineering

Tools

MS SQL Server
Python
Tableau
Excel
ERP systems

Job description

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.

Apply statistical analysis and Industrial Engineering (IE) concepts to planning and forecasting models. Collaborate closely with Engineering stakeholders, to stay updated on metrics, strategic plans, and development needs. Design and coordinate complex projects involving multiple departments, ensuring accurate resource prediction, scheduling, and contingency planning. Utilize data techniques to establish quality and efficiency improvements and create innovative data solutions to continually improve strategic forecasts. Perform audits to maintain quality and accuracy in manufacturing capacity information, analyze metric quality, and improve modeling techniques. Develop and drive improvements to key fab planning metrics, propose and implement novel modeling concepts, methods, and tools, and perform audits to ensure accurate planning of Manufacturing resources. Evaluate what-if scenarios, design experiments to identify root causes of issues, and analyze internal and external data sources to suggest capacity changes. Communicate effectively with peers, area leadership, and other management levels, presenting complex ideas and significant model impacts. Report on safety-related concerns immediately and perform audits on safety issues. Implement automated data visualization solutions for clear communication with global stakeholders.

Employer will accept a Master's degree in Industrial and Systems Engineering, Manufacturing Engineering, Production Operations Management or related field. Alternatively, employer will accept a Bachelor's Degree in Industrial and Systems Engineering, Manufacturing Engineering, Product Operations Management or related field and 2 years of experience in the job offered or related occupation.

Position requires:
  1. Data extraction and analysis techniques utilizing key software (MS Suite, Tableau) and programming languages (SQL or Python).
  2. Analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across diverse technical and non-technical groups.
  3. Data visualization, executive communication, and project management.
  4. Database management methods and techniques.
  5. Manufacturing Science, including scheduling, inventory management, and capacity planning.
  6. Applying Cycle Time and Queuing Theory to optimize manufacturing capacity and throughput.
  7. Auditing a business process and developing or automating processes and procedures for enhanced efficiency.

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.

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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