AI Solutions Engineer

Texas Instruments • Dallas, TX

1d

About The Position

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. 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.

Requirements

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

Nice To Haves

• AI / ML 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Ph.D. or professional degree