New College Grad - ATE Process Engineer ID1

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. in Boise, Idaho is seeking a High Volume Manufacturing Shift Process Engineer who will improve process quality, yield, equipment performance and manufacturing efficiency in your area.

You will work with equipment engineers and shift leaders to identify opportunities, implement solutions, and optimize wafer output across next-generation memory production. The role supports AI-enabled manufacturing, with responsibilities to analyze performance, drive continuous improvement,

Qualifications

• Degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field.
• Experience applying AI, machine learning, or advanced data analytics through coursework, research, internships, or industry experience.
• Working knowledge of Statistical Process Control (SPC) and Design of Experiments (DOE).
• Proficiency with one or more technical tools such as Python, Java, MATLAB, Tableau, or Microsoft Office applications.
• Strong analytical, troubleshooting, problem-solving, and communication skills.

Responsibilities

• Complete all required safety training and perform work in accordance with Micron safety policies and procedures.
• Monitor process performance and respond to yield, defect, quality, and equipment-related issues to maintain manufacturing stability.
• Apply SPC, FDC, DOE, and structured problem-solving methodologies to improve process capability and operational performance.
• Analyze manufacturing and engineering data to identify trends, drive corrective actions, and support process decisions.
• Partner with operations, equipment engineering, and process teams to achieve throughput, quality, and wafer output goals.
• Lead and support projects focused on process optimization, productivity improvements, and cost reduction initiatives.
• Develop, maintain, and improve process documentation, reaction plans, procedures, and training materials.
• Escalate critical process issues and drive timely resolution to minimize manufacturing impact.

Skills

AI/ML experience

SPC

DOE

Python

Data analytics

Communication

Education

Engineering degree

Tools

Python

Java

MATLAB

Tableau

Excel

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. 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.

Department Overview

The High Volume Manufacturing (HVM) organization is responsible for delivering world-class manufacturing performance through process excellence, operational discipline, and continuous improvement. At Micron's Boise, Idaho facility, HVM teams play a critical role in ramping next-generation DRAM technology and supporting one of the most significant semiconductor manufacturing expansions in the United States. Through collaboration across engineering, manufacturing, and equipment teams, the organization drives yield improvement, productivity, and quality while enabling the memory solutions that power AI, data centers, and advanced computing technologies.

Position Overview

As a High Volume Manufacturing Shift Process Engineer, you will be responsible for improving process quality, yield, equipment performance, and manufacturing efficiency within your assigned area. You will analyze process performance, resolve manufacturing challenges, and drive continuous improvement initiatives that support area objectives and semiconductor production goals. In this role, you will partner closely with equipment engineers, shift operations leaders, and cross-functional stakeholders to identify opportunities, implement solutions, and optimize wafer output. Your contributions will directly support Micron's advanced memory manufacturing capabilities that enable next-generation AI and data-intensive applications.

Responsibilities

• Complete all required safety training and perform work in accordance with Micron safety policies and procedures.
• Monitor process performance and respond to yield, defect, quality, and equipment-related issues to maintain manufacturing stability.
• Apply SPC, FDC, DOE, and structured problem-solving methodologies to improve process capability and operational performance.
• Analyze manufacturing and engineering data to identify trends, drive corrective actions, and support process decisions.
• Partner with operations, equipment engineering, and process teams to achieve throughput, quality, and wafer output goals.
• Lead and support projects focused on process optimization, productivity improvements, and cost reduction initiatives.
• Develop, maintain, and improve process documentation, reaction plans, procedures, and training materials.
• Escalate critical process issues and drive timely resolution to minimize manufacturing impact.

Minimum Qualifications

• Degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field!
• Experience applying AI, machine learning, or advanced data analytics through coursework, research, internships, or industry experience.
• Working knowledge of Statistical Process Control (SPC) and Design of Experiments (DOE)!
• Proficiency with one or more technical tools such as Python, Java, MATLAB, Tableau, or Microsoft Office applications.
• Strong analytical, troubleshooting, problem-solving, and communication skills.

Preferred Qualifications

• Experience with semiconductor manufacturing processes, process development, equipment engineering, or manufacturing data analysis through industry, laboratory, or academic research environments.
• Knowledge of data collection systems, data warehousing, and data cleansing methodologies.
• Understanding of semiconductor fabrication processes, equipment, and supporting systems.
• Demonstrated ability to manage competing priorities and collaborate effectively in a fast-paced manufacturing environment.
• Experience and/or interest in developing Agentic AI workflows into current or future processes.

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.