Senior individual-contributor role applying ML to electronic design automation (EDA), building production features that improve performance, power, and productivity in Synopsys’s chip-design tools.
Responsibilities
Identify high-impact opportunities where ML can improve EDA workflows and tool performance.
Design, implement, and evaluate ML models for tasks like placement, routing, or timing closure.
Integrate ML components into existing C++/EDA codebases with attention to performance and robustness.
Collaborate closely with product and application engineers to gather requirements and validate value.
Provide technical leadership and mentoring for ML initiatives across the team.
Category
Machine Learning Engineer
Posted
11/3/2025
Ready to Apply?
Applications go directly to Synopsys's career portal