Early Career - AI for Analog Design Engineer
Core
Design and build AI-enabled solutions to accelerate analog circuit design, sizing, and layout for TI's IC development teams.
Role type
Senior IC machine-learning engineer (analog design)
Builds
AI applications for analog circuit sizing and layout
Domain
Semiconductor / Analog Circuit Design / Machine Learning
Deliverable
production ML models
Required skills
Machine learning development, analog circuit design, neural network training (MLPs, RNNs, CNNs, GNNs, transformers), LLM agent development, data pipeline engineering, Python programming, PyTorch framework, analog circuit simulation tools (Ngspice, Cadence Virtuoso, Spectre), analog circuit topology knowledge (ADCs, DACs, amplifiers, filters)
Preferred skills
PhD in Electrical Engineering, publication in top technical conferences, transformer-based LLM reasoning models, traditional ML techniques (clustering, regression, tree-based methods)
Technologies
PyTorch, LLMs, Ngspice, Cadence Virtuoso Studio, Spectre
Responsibilities
Design AI-enabled solutions for analog circuit design using classical and neural network algorithms, build and maintain data pipelines for model development, develop AI agents using LLMs, test solutions and monitor deployed models for accuracy and drift, collaborate with analog design partners to translate workflows into AI-ready formulations, produce technical documentation
Seniority
Mid-to-Senior, hands-on IC