CAD Automation & Machine Learning Engineer

Quick Facts

• Role: CAD Automation & Machine Learning Engineer

• Focus: ML/LLM-driven automation and interaction with circuit design software for silicon IP development

Description

Develop machine-learning and large language model applications that help understand, explain, and interact with advanced circuit design software systems, integrating them with internal compute infrastructure. Optimize and reuse delivery of hardware IP assets by improving and expediting design workflows. Support ML/LLM development processes through strong debugging and delivery for internal customers.

Responsibilities

• Develop ML/LLM applications to interact with circuit design software systems and implement integration with compute infrastructure

• Identify opportunities to optimize, expedite, and reuse delivery of hardware IP assets

• Troubleshoot input data, outputs, and software issues that may impact project timelines

• Collaborate with design teams (Custom Digital, Analog, Mixed-Signal, etc.) to apply advanced techniques and reduce duplicate design work

• Validate ML-based applications with CAD experts and evaluate external EDA vendor packages and open-source solutions

Requirements

• BS in Computer Science or related field

• 3+ years of relevant industry experience

• Hands-on day-to-day experience with the UNIX shell and code revision control systems

• Knowledge of transistor-level electrical engineering and related circuit analysis software tools (simulation, timing, EM/IR, layout/extraction, power analysis)

Benefits

• Hands-on impact on silicon IP development workflows, helping deliver diverse IPs to advanced integrated circuits

• Broad exposure across multiple stages of silicon IP development, including ML and LLM applications such as information retrieval and triage

• High-visibility collaboration across CAD and cross-disciplinary design teams