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
As a Yield Analysis Engineer, you will characterize electrical, parametric, and fabrication data to identify intrinsic and extrinsic device issues affecting yield. You will apply semiconductor device physics, statistical analysis, machine learning, and artificial intelligence to improve end-of-line performance prediction, accelerate issue resolution, and support the transfer of new products from R&D into manufacturing. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience applying semiconductor device-physics knowledge to yield analysis, device characterization, or failure-mechanism investigation
- Experience developing yield-analysis tools or applying machine learning and artificial intelligence to improve analysis efficiency, accuracy, or device-performance prediction
- Experience supporting continuous-improvement processes, including improving measurement accuracy or end-of-line yield predictions
- Experience leading technical discussions or coordinating teams spanning multiple functions across R&D and manufacturing
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’s Research and Development organization develops next-generation memory solutions and supports the transfer of new products into manufacturing. The Yield Analysis team partners across R&D and manufacturing to identify device, process, design, and test issues that affect yield and product performance.
As a Yield Analysis Engineer, you will characterize electrical, parametric, and fabrication data to identify intrinsic and extrinsic device issues affecting yield. You will apply semiconductor device physics, statistical analysis, machine learning, and artificial intelligence to improve end-of-line performance prediction, accelerate issue resolution, and support the transfer of new products from R&D into manufacturing.
- Analyze end-of-line test, parametric, and fabrication data to identify design, process, test, and device issues affecting yield.
- Develop yield-analysis tools...
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