Offres d'emploi

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.

As a Process Engineer you will be primarily responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. You will also be required to identify, diagnose and resolve assembly process related problems by applying failure analysis, FMEA, 8D or SPC/FDC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives.

Responsibilities:

• Identify, diagnose and resolve assembly process related problems
• Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step
• Lead / participate in continuous yield improvement and cost reduction activities
• Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction
• Support SPC/FDC/RMS/APC
• Support site to site portability
• Manage / audit material suppliers to achieve quality, cost and risk management objectives
• Support internal and external audits

Minimum Requirements:

• Education: MS degree in Material Science, Electrical Engineering, Mechanical Engineering or any other relevant technical degree.
• PC skills to include M.S. Office (PowerPoint, Word, Excel, OneNote) and a good understanding of Micron AI tools.
• Experience in developing and maintaining processes on semiconductor equipment.
• Ability to prioritize and work independently

Preferred Requirements:

• Industry or R&D experience specific to wafer level processing and wafer inspect methodologies.
• Education: PhD Degree in Material Science, Electrical Engineering, Mechanical Engineering or any other relevant technical degree.
• Experience in developing and maintaining processes on semiconductor equipment.

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 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.

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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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