Semiconductor professional
I started my career as an experimental physicist, now working as a semiconductor engineer and moving towards Data Science. I firmly believe that everything is right if the data match with experiment results. Now I am working with Micron Technology as a yield enhancement engineer.
I have seven years of experience working in nanoscience and nanotechnology, especially in materials characterization.
1) Yield-Enhancement Engineer (DRAM)
This is my current position at Micron technology. My primary focus is to find potential DRAM chips failures that arise during their fabrication processes and provide possible hypotheses for failure modes. In addition to this, I utilize statistical physics knowledge to perform extensive data analysis and find abnormalities during the process.
Apart from the primary job, I have worked to develop a fully automated STEM sample process.
2) Experienced in the field of nano-optics and nanofabrication
I have experienced this field at Osaka University, where we developed a novel technique, plasmon nanofocusing-assisted NSOM, that allows characterizing samples with a nanoscale spatial resolution. The results obtained from this technique are noise-free, which enables the measurement of signals with low strength.
3) Experienced in the field of nanomagnetism
This project I have done at the Indian Institute of Technology, Hyderabad, where I investigated the dependence of thin magnetic film properties on its structural parameters.
Skill Set:
Experimental
Scanning electron microscopy, Transmission electron microscopy, Dual-beam focused Ion beam, automated focused Ion beam, Iphemos-inverted emission microscope, Atomic force microscopy, Magenetic force microscopy, Thermal oxidization, Thin film evaporator, Raman spectroscopy, fluorescence spectroscopy, Tip-enhanced Raman spectroscopy, e-beam lithography, and other similar techniques.
Computational: Finite-difference time-domain method, C++(Basic), Big-data analysis.
Physical Failure Analysis Engineer
Physical failure analysis (PFA) is one of the most crucial jobs in the semiconductor industry. This job requires one to be highly skilled with cutting-edge technology, which allows us to observe semiconductor samples for investigating the failure modes. PFA enables engineers to focus directly on the abnormal fabrication process swiftly, provide possible hypothesis for the failure modes and relate it with inline processes through extensive data analysis, which directly impacts the company's business and profit. The quicker we are..., the faster we catch the problem...
We focus on innovating novel ways of characterizing DRAM samples
In my job, I find the root causes of failure mechanisms in DRAM chips by characterizing them with cutting-edge nanotechnologies. Some of the investigation ways require us to fabricate samples with a thickness of 80nm~100nm. Generally, this type of fabrication requires very highly skilled engineers, and in addition to that, it requires a long time to fabricate such samples. Therefore, we developed an automation method by optimizing several parameters that allowed us to fabricate thin samples (60nm ~100nm) with very high precision. The main advantage of this method is it is very fast compared to the manual process. Moreover, it is easy too (because every parameter is optimized), so young engineers and technicians can also use it.
listen and learn!
When starting your career in an industry, the first few months involve a steep learning curve. Your primary focus should be to grasp knowledge as much as possible. Apart from this, you should maintain proper notes of all the tools and software, which will help you to work independently in the future. Try to involve yourself with new projects to get the experience of the current flow in the industry.
Be professional and confident will help you to set you as a valuable person in your team. In some situations, you may have to make tough decisions, so be ready for that.
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