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
We are the CMOS Device Integration Team at Micron, where we advance memory technology through work at the intersection of device physics, process integration, and product performance. Our team develops CMOS technologies that enable the next generation of DRAM, HBM, and Compute-in-Memory products. If you enjoy solving complex technical challenges and seeing your work translate into product impact, you’ll feel right at home here! Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master’s degree or PhD in Electrical Engineering or equivalent practical experience
- 5 or more years of hands-on experience in advanced CMOS device development, characterization, and/or integration
- Semiconductor industry experience in advanced logic or DRAM technology development
- Experience collaborating across engineering fields to solve sophisticated device or process integration challenges
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.
We are the CMOS Device Integration Team at Micron, where we advance memory technology through work at the intersection of device physics, process integration, and product performance. Our team develops CMOS technologies that enable the next generation of DRAM, HBM, and Compute-in-Memory products. If you enjoy solving complex technical challenges and seeing your work translate into product impact, you’ll feel right at home here!
As a Staff Engineer, you’ll be a key technical contributor in the development and integration of CMOS devices for Micron’s advanced memory products. You’ll solve challenging device and integration problems, analyze electrical performance, and collaborate across engineering disciplines to improve array efficiency, data rates, and product scalability. Your work will help enable memory technologies for AI, high-performance computing, and emerging applications.
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