AI Solutions Engineer

118-WW TMG MFG OPS; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Texas Instruments seeks a highly qualified AI/ML researcher for the Career Accelerator Program (CAP). You will design and build AI-enabled solutions spanning discriminative and generative tasks, from data pipelines to deployment monitoring.

Collaboration with design, manufacturing and sales teams will drive real-world impact in a fast-paced environment. The role requires a PhD in a relevant field and a strong AI/ML background, with opportunities to publish and contribute to cutting-edge

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science or a related technical field.
• Cumulative 3.0 / 4.0 GPA or higher.
• Strong AI/ML background with publications is preferred.

Responsibilities

• Design and build AI-enabled solutions for discriminative and generative applications using classical and neural network models.
• Develop data pipelines, train agents with the latest LLMs or from scratch, and monitor deployments for accuracy and drift.
• Collaborate with TI partners across design, manufacturing, sales, planning and productivity to deliver robust, scalable, secure AI solutions.
• Test rigorously and ensure model performance and stability in production.

Job description

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 day1.

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.

Minimum 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

Preferred Qualifications:

• 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
• 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