Early Career - AI for Analog Design Engineer

Change the world. Love your job.

Texas Instruments is seeking an AI for Analog Design Engineer to join our IT organization in Dallas. In this role, you will design and build AI-enabled solutions that accelerate analog circuit design, sizing, and layout across TI's 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

Minimum requirements:

• Master’s 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