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Change the world. Love your job.

In your first year with TI you’ll join the Career Accelerator Program (CAP) – a fast‑track development experience that blends professional‑skill workshops, technical training and on‑the‑job learning so you can start delivering real‑world impact from day 1.

About the job:

Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift.

Work with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Deliver robust scalable, performant, and secure solutions.

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:

+ Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or a related technical field of study

+ Cumulative 3.0 / 4.0 GPA or higher

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

Preferred Qualifications:

+ Master’s and / or PhD in a relevant field or equivalent experience

+ AI / ML

+ Development of novel neural network related algorithms and associated publication in top technical conferences

+ Design, training, and use of the latest transformer based LLMs (reasoning, agents)

+ Design, training, and use of additional neural network types (MLPs, RNNs, CNNs, GNNs)

+ Traditional ML based techniques (clustering, regression, trees, …)

+ AI / ML based approaches to language, speech, vision, games, time series, and personalization related applications

+ Programming

+ Python programming and the PyTorch package

+ C / C++ programming

+ SQL programming

+ Math

+ Dense linear algebra, probability, and calculus

+ Optimization theory and algorithms

+ Personal

+ Strong technical leadership, communication and interpersonal skills

+ The ability to dream what could be and the drive to make the dream a reality

**ECL/GTC Required:** Yes