Early Career - AI Solutions Engineer

Job Title

Change the world. Love your job.

Job Description

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. Address problems at the intersection of math, physics and engineering. Leverage human side information and physical constraints to improve AI model design and training. Deliver robust scalable, performant, and secure solutions.

Move comfortably between models which are human derived from observation and models which are learned from data via a common foundation of math (linear algebra, calculus, probability, and optimization).

Qualifications

Minimum Requirements:

• Master's and / or PhD in Electrical Engineering, Computer Engineering, Computer Science, Physics, Math, or related technical field of study
• Cumulative 3.0 / 4.0 GPA or higher

Preferred Qualifications:

• 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)
  • Design, training, and use of neural networks with physical constraints (e.g., PINNs)
  • 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
• 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

About Us

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 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, data center, personal electronics and communications equipment. 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. TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Job Info

• Job Identification 25010195
• Job Category Information Technology
• Degree Level Master's Degree
• Locations EXKI 13560 N. Central Expwy, Dallas, TX, 75243, US