New College Grad - Dry Etch Process Engineer
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What you'll do
- Develop, optimize, and sustain semiconductor fabrication processes to improve yield, quality, reliability, productivity, and manufacturing cost performance.
- Analyze process excursions and manufacturing issues using methodologies such as SPC, FMEA, root cause analysis, and 8D problem-solving to drive corrective and preventive actions.
- Evaluate, qualify, and implement new equipment, materials, process recipes, and technology changes while ensuring compliance with performance and quality requirements.
- Collaborate with cross-functional engineering, manufacturing, and supplier teams to reduce process variation, improve process capability, and support new product introductions.
- Utilize data analytics, Generative AI, AI-enabled tools, and automation solutions to improve workflow efficiency, develop analytical insights, and support data-driven decision making.
What they're looking for
- Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Semiconductor Manufacturing, or a related technical discipline.
- Demonstrated experience in process development, process optimization, or semiconductor manufacturing environments.
- Working knowledge of Statistical Process Control (SPC) and process monitoring methodologies.
- Experience managing technical projects and coordinating activities across multiple stakeholders.
- Experience applying AI, Generative AI, or AI-assisted tools to improve engineering workflows, data analysis, problem solving, or productivity.
Nice to have
- Proficiency in data analysis and automation tools, including SQL, Tableau, and Python, with the ability to perform data mining, develop dashboards, and drive data-driven decisions.
- Experience using Generative AI tools such as Claude, ChatGPT/GPT, or other approved AI-assisted technologies to automate workflows, develop applications, and enhance engineering productivity.
- Hands-on experience with LAM KIYO etch systems, including process development, chamber matching, qualification, troubleshooting, SPC monitoring, and yield improvement activities.
- Advanced expertise with JMP for statistical analysis, Design of Experiments (DOE), process optimization, capability studies, regression analysis, and data visualization.
- Demonstrated workstation leadership experience, including leading cross-functional teams, managing engineering priorities, influencing stakeholders, and driving process improvement initiatives to achieve operational and quality objectives.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
Responsibilities
- Develop, optimize, and sustain semiconductor fabrication processes to improve yield, quality, reliability, productivity, and manufacturing cost performance.
- Analyze process excursions and manufacturing issues using methodologies such as SPC, FMEA, root cause analysis, and 8D problem-solving to drive corrective and preventive actions.
- Evaluate, qualify, and implement new equipment, materials, process recipes, and technology changes while ensuring compliance with performance and quality requirements.
- Collaborate with cross-functional engineering, manufacturing, and supplier teams to reduce process variation, improve process capability, and support new product introductions.
- Utilize data analytics, Generative AI, AI-enabled tools, and automation solutions to improve workflow efficiency, develop analytical insights, and support data-driven decision making.
Minimum Qualifications
- Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Semiconductor Manufacturing, or a related technical discipline.
- Demonstrated experience in process development, process optimization, or semiconductor manufacturing environments.
- Working knowledge of Statistical Process Control (SPC) and process monitoring methodologies.
- Experience managing technical projects and coordinating activities across multiple stakeholders.
- Experience applying AI, Generative AI, or AI-assisted tools to improve engineering workflows, data analysis, problem solving, or productivity.
Preferred Qualifications
- Proficiency in data analysis and automation tools, including SQL, Tableau, and Python, with the ability to perform data mining, develop dashboards, and drive data-driven decisions.
- Experience using Generative AI tools such as Claude, ChatGPT/GPT, or other approved AI-assisted technologies to automate workflows, develop applications, and enhance engineering productivity.
- Hands-on experience with LAM KIYO etch systems, including process development, chamber matching, qualification, troubleshooting, SPC monitoring, and yield improvement activities.
- Advanced expertise with JMP for statistical analysis, Design of Experiments (DOE), process optimization, capability studies, regression analysis, and data visualization.
- Demonstrated workstation leadership experience, including leading cross-functional teams, managing engineering priorities, influencing stakeholders, and driving process improvement initiatives to achieve operational and quality objectives.
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.
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To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
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.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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