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Early Career AI for Analog Design Engineer

Texas Instruments


Job Location:

Dallas, TX - USA

Monthly Salary: Not provided by the employer
Posted: 17 July 2026 (30+ days ago)
Application Deadline: 14 October 2026
Vacancies: 1 Vacancy

Job Summary

Description

Change the world. Love your job.

Texas Instruments is seeking an AI for Analog Design Engineer to join our IT organization in this role you will design and build AI-enabled solutions that accelerate analog circuit design sizing and layout across TIs IC development teams.

As an AI for Analog Design Engineer you will apply your expertise in machine learning and analog circuits to develop discriminative and generative AI applications. You will build efficient data pipelines develop agents using the latest LLMs train new networks from scratch and work with partners across TI to deliver solutions that are robust scalable performant and secure.

Responsibilities include:
  • Design and build AI-enabled solutions for analog circuit design sizing and layout using a combination of classical and neural network-based algorithms (MLPs RNNs CNNs GNNs transformers)
  • Build and maintain efficient data pipelines to support model development evaluation and deployment
  • Develop AI agents using the latest LLMs and contribute to model training workflows
  • Test solutions with rigor and monitor deployed models for accuracy and data drift
  • Work with analog design partners across TI to translate engineering workflows into AI-ready problem formulations and deliver production-ready solutions
  • Participate in design reviews and produce technical documentation for developed solutions


Qualifications
Minimum requirements:
  • Masters degree in Electrical Engineering or related field
  • 2-5 years of experience in AI/ML development or analog circuit design
Preferred qualifications:
  • PhD in Electrical Engineering or equivalent experience
  • Development of novel AI/ML-based approaches to analog circuit design sizing or layout with publication in top technical conferences
  • Design training and use of transformer-based LLMs including reasoning models and agent frameworks
  • Design training and use of additional neural network types (MLPs RNNs CNNs GNNs)
  • Familiarity with traditional ML techniques including clustering regression and tree-based methods
  • Python programming and the PyTorch framework
  • Analog circuit specification functional design physical layout and post-layout parasitic extraction and simulation
  • Proficiency with industry-standard analog development tools such as Ngspice Cadence Virtuoso Studio and Spectre
  • Knowledge of common analog circuit designs including ADCs DACs comparators amplifiers filters voltage references PLLs and clocks
  • Strong technical leadership communication and interpersonal skills
  • The ability to dream what could be and the drive to make the dream a reality
  • Ability to work collaboratively across AI hardware design and software engineering teams



Required Experience:

IC


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