Lightmatter Sr. Physical Design Flow & Methodology Engineer developing and maintaining physical design flows for ASICs and mixed-signal chips. Use AI and LLM tools to automate and improve design flows.
Responsibilities
Develop, maintain and extend our physical design flows from synthesis through signoff (place-and-route, CTS, STA, power integrity, DRC/LVS), mostly in Python and TCL.
Use AI and LLM-based tools to automate flow tasks such as report triage, debug, constraint checking, DRC/LVS analysis, run monitoring and QoR prediction.
Research and prototype new flow capabilities, EDA tool features and methodologies, then turn the successful ones into production flows.
Build tools for regression testing, QoR tracking and dashboards so flow changes are measurable and safe.
Support the implementation teams by debugging flow problems, reproducing tool issues and working with EDA vendors on fixes.
Run blocks through the flow as needed to validate methodology changes, including timing closure, ECOs and DRC/LVS cleanup.
Write clear documentation and train the PD team on new flows and tools.
Qualification
Bachelor’s in Electrical EngineeringStrong Python skills (maintainableStrong teamwork skillsExperience with LLM APIs
Required
Bachelor’s in Electrical Engineering, Computer Engineering or Computer Science, plus at least 5 years of related industry experience.
Has contributed to at least one ASIC or mixed-signal chip through tapeout.
Solid understanding of the RTL-to-GDS flow, including synthesis, place-and-route, clock tree synthesis, static timing analysis and physical verification.
Strong Python skills (maintainable, tested, version-controlled code) and working knowledge of TCL and shell scripting.
Practical experience using AI coding assistants or LLM-based tools to automate engineering work, or a strong interest in learning to.
Strong teamwork skills, with the ability to work with PD, RTL, verification, CAD and photonics teams.
Comfortable with ambiguity and changing priorities in a fast-paced research-driven environment.
Preferred
Master’s degree with at least 3 years of experience in physical design OR PhD in Electrical Engineering, Computer Engineering or Computer Science