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New College Graduate - AI Solutions Engineer

  • Job type Posted on: Jul 17, 2026
  • Experience level Texas Instruments
  • Employment type Dallas, Texas
  • Employment type Onsite
  • Salary Full-time

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Job Title :

New College Graduate - AI Solutions Engineer

Job Type :

Full-time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

Overview 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. 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. Collaborate 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. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 17, 2026

Reference Number:

14660_DB76CE3BCBF2E8AF36117B336425B343

Employment:

Full-time

Salary:

Not Available

City:

Dallas

Job Origin:

APPCAST_CPC

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Overview 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. 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. Collaborate 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. #J-18808-Ljbffr

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