Emerging Test Engineering Intern - MS/PhD

Change the world. Love your job.Texas instruments is looking for an Emerging Test Engineer to interface across various work areas and organizations to help with the AI / Large Language Modeling (LLM) for Automated Test Equipment (ATE) software generation and optimization. The types of data modeling and optimization include, but are not limited to, product historical quality data, raw material classifications, software auto-generation and conversion.Assignments include benchmarking of Industry preferred LLM's, trade off analysis, key strategic partners, identifying successfully implemented examples and brining in these learnings to the internal teams and projects.Put your talent to work with us as an Emerging Test Intern!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 ()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 InstrumentsTexas 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 Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or related fieldCumulative 3.0 / 4.0 GPA, or higherPreferred Qualifications : Existingregisteredstudent inMasteror PhDprogramin CS, CEorEE majorsFamiliar with High Volume Semiconductor product testing using ATE, Handlers, etc.ExcellentC / C ,Pythonprogrammingandsoftwaredesignexperience,including debugging, performance analysis and optimizationUnderstanding of the latest techniques in deep neural networks, large language models, and scaling techniques. Experience in developing or using deep learning frameworks (e.g. PyTorch, Tensorflow, etc.)Great foundation in distributed data storage and access in a networking environment. Knowledgeofhigh-performancecomputinganddistributedprogramming.Experience architectingordevelopinglarge-scaledeeplearningdistributedsystemsisahugeplusStrongcommunicationandinterpersonalskillsalongwiththeabilitytoworkinadynamic and high distributed teamStrong time management skills that enable on-time project deliveryAbility to build strong, influential relationshipsAbility to take the initiative and drive for results