Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
This role requires strong analytical thinking, attention to detail, and principled execution. Shift Process Engineers must have the ability to recognize abnormal conditions and employ detailed problem-solving to troubleshoot issues in a fast-paced manufacturing environment while adhering to established procedures. Over time, they are expected to analyze large data, discuss the conclusions of the data analysis and then proceed to provide engineering solutions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's or Master's degree in Engineering or related Science studies
- Availability for 12-hour shifts (3 days on/4 days off and 4 days on/3 days off), with flexibility to move between shifts or work overtime as needed. Ability to work Night shift
- Ability to wear cleanroom garments (approximately 20%, depending on department) and occasional PPE such as chemical aprons and face shields (~1% of the time)
- Proficiency in applying AI technologies such as Copilot, Claude, etc
More about this role
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.
Micron is looking for a New College Graduate (less than 2 years of industry experience) Night Shift Process Engineer to support wafer manufacturing. Responsibilities include supervising operations, reviewing and analyzing data, and collaborating with engineering and production teams to improve yield, quality, and efficiency.
This role requires strong analytical thinking, attention to detail, and principled execution. Shift Process Engineers must have the ability to recognize abnormal conditions and employ detailed problem-solving to troubleshoot issues in a fast-paced manufacturing environment while adhering to established procedures. Over time, they are expected to analyze large data, discuss the conclusions of the data analysis and then proceed to provide engineering solutions.
- Complete required safety training, work safely in varied environments (including uneven terrain and...
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