About TI
Texas Instruments Incorporated (TI) is a global semiconductor design and manufacturing company that develops analog ICs and embedded processors. By employing the world’s brightest minds, TI creates innovations that shape the future of technology. TI is helping about 100,000 customers transform the future, today. We’re committed to building a better future – from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back inside our communities and developing great minds. Put your talent to work with us – change the world, love your job!
About the job
This is an opportunity to peek behind the curtain in the Data Analysis field of semiconductor processing. The Data Analysis team at Texas Instruments is responsible for helping factory process and integration teams solve some of the hardest, most complex problems in the industry. We work with data of all shapes and sizes from many disparate data sources. We use fab processing data, inline metrology, defect information, parametric data, end of line probe data, and many more to mitigate processing issues and drive overall yield and quality improvement.
Responsibilities
You will receive training related to overall semiconductor manufacturing as well as data analysis methods. Using this knowledge, you will engage with process and integration engineering teams and provide valuable data insights that help drive the team to root cause and improve yield and quality. Your success will depend on your ability to listen to and learn from experienced Data Analysis engineers, collaborate with other TIers and interns, and manage your time effectively to complete all phases of your assigned project.
Minimum requirements:
Preferred qualifications:
Texas Instruments looks for a Data Analytics Engineering Intern in Lehi, UT 84043 location.
The proposed salary for Data Science Internship position at Texas Instruments is Not disclosed.
According to the common industry standard, Data Science Internship specialist is in charge for the following activities.
To be disscussed with candidate
... of education is valued by employers, how interviews go, and how much data engineers and data scientists earn.
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