Applied Machine Learning Engineer

Role Overview

We are seeking innovative minds to join our team as an Applied Machine Learning Engineer. You will develop AI-driven software systems specifically for circuit design, focusing on automation algorithms and deep learning models to significantly enhance engineering design processes.

Key Responsibilities:

• Collaborate within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.
• Develop applications ranging from silicon data analysis and manufacturing process variation analysis to VLSI circuit design, timing management, agent-driven design exploration, and flow optimization.
• Translate technical requirements into complex data science, AI/ML, and agentic system problems; architecting and building robust solutions.
• Test, validate, and release models and AI systems that seamlessly integrate with existing machine learning, design automation, and visualization tools within the organization.
• Analyze datasets to raise and validate hypotheses, extract relevant features, build predictive models, and create self-improving workflows.
• Optimize models, algorithms, and autonomous optimization systems until they reach desired Quality of Results (QOR).