This role delivers data-driven insights to support strategic decision-making in investment, production, and R&D across semiconductor and storage sectors
Job Summary
This role delivers data-driven insights to support strategic decision-making in investment, production, and R&D across semiconductor and storage sectors.
The analyst will evaluate AI model-driven compute demands by assessing GPU utilization, memory bandwidth, and storage performance impacts.
Candidates must document and analyze manufacturing processes for enterprise SSDs and HDDs to identify optimization opportunities.
Matching Summary
Match Score: 75
This role delivers data-driven insights to support strategic decision-making in investment, production, and R&D across semiconductor and storage sectors.
Skills & Requirements
Must-have
AI compute ecosystem analysis
Enterprise SSD and HDD technology
Semiconductor manufacturing processes
GPU and accelerator utilization assessment
NAND scaling and firmware optimization
Nice-to-have
Cross-functional collaboration skills
Strategic planning experience
Hyperscaler demand trend monitoring
Yield performance improvement expertise
Key Requirements
Bachelor's or Master's degree in Engineering or Materials Science
Demonstrated experience in semiconductor manufacturing analysis
Strong knowledge of NAND flash and controller design
Familiarity with Western Digital, Samsung, SK Hynix, and Micron roadmaps