Smart Manufacturing & Automation Facilities Intern

Texas Instruments • Dallas, TX • 4h ago

Change the world. Love your job.

Texas Instruments is seeking a Data Analytics Summer Intern for an exciting opportunity within our Smart Manufacturing and Automation (SMA) Facilities organization. As an SMA Intern, you will work on meaningful projects involving AI, machine learning, and workflow automation that are both challenging and impactful to the organization.

The Texas Instruments Facilities organization is responsible for managing operations at TI facilities worldwide, designing and constructing new facilities, and overseeing engineering projects to optimize processes and systems. Within the Facilities organization, the Smart Manufacturing and Automation (SMA) team focuses on long term business growth through four key areas: Cost Leadership, Quality, Technology, and Benchmarking. By leveraging industry-leading tools, methods, and processes, the team seeks to enable long-term success and establish benchmarks for performance excellence. As a Facilities Data Analytics Intern, you will play a critical role in designing and developing our data infrastructure, ensuring the accuracy, scalability, and security of our data systems.

Put your talent to work with us as a Facilities Data Analytics Intern!

Texas Instruments will not sponsor job applicants for visas or work authorization for this position.

Why TI?

Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.

We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012)

Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.

Minimum Requirements:

Currently pursuing a undergraduate degree in Data Engineering, Computer Engineering, Computer Science, or related degree

Cumulative 3.0/4.0 GPA or higher

Preferred qualifications:

Strong foundation in database mgmt. and Architecture strategies (Relational, Document & Graph)

Proficiency in SQL, Python, R, Javascript, etc.

Experience with statistics, algorithm development, and data visualization

Demonstrated analytical and problem-solving skills

Strong verbal and written communication skills

Ability to work in teams and collaborate effectively with people in different functions

Strong time management skills that enable on-time project delivery

Ability to work effectively in a fast-paced and rapidly changing environment

Ability to take the initiative and drive for results

Ability to build strong, influential relationships

ECL/GTC Required: Yes

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