AI Solutions Engineer

Texas Instruments is a global semiconductor company that designs, manufactures, and sells analog and embedded processing chips. The AI Solutions Engineer will design and build AI-enabled solutions for discriminative and generative applications, develop efficient data pipelines and LLM-based agents, train neural networks, and rigorously test and monitor deployments. The role partners across TI to deliver robust, scalable, performant, and secure solutions for design, manufacturing, sales, planning, and productivity applications.

What you'll do:

• 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

What they're looking for:

• PhD degree in Electrical Engineering, Computer Engineering, Computer Science or a related technical field of study
• Cumulative 3.0 / 4.0 GPA or higher
• Master's and / or PhD in a relevant field or equivalent experience
• 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
• Python programming and the PyTorch package
• C / C++ programming
• SQL programming
• Dense linear algebra, probability, and calculus

Benefits:

• Career Accelerator Program (CAP), a fast-track development experience in the first year
• Professional-skill workshops
• Technical training
• On-the-job learning