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 searching for an HBM IO Design Architecture Engineer to build and own the end-to-end design quality system — including design checklist delivery, silicon data analysis, and cross-team data collection framework — ensuring that silicon learnings are systematically captured and fed back into the project before the next generation design is finalized. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- MS or PhD in EE
- 10+ years of relevant Engineering or Design Engineering experience on high-speed IO, PLL, Tx, Rx, Equalization, clock tree
- Job title and level can scale depending on experience and qualifications
- To learn about your right to work click here
- 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)
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.
The High-Performance Integrated Group (HIG) is a division within the Technology and Products Group (TPG). We are dedicated to developing and optimizing High Bandwidth Memory (HBM) solutions for AI and ML applications! Our ultimate goal is to deliver the lowest power per bit solutions in the industry!
We are searching for an HBM IO Design Architecture Engineer to build and own the end-to-end design quality system — including design checklist delivery, silicon data analysis, and cross-team data collection framework — ensuring that silicon learnings are systematically captured and fed back into the project before the next generation design is finalized.
The ideal candidate brings hands-on experience in design execution, simulation to silicon correlation, and cross-functional methodology development, and embraces AI-driven analysis and data-driven decision making to accelerate quality...
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