Senior Chip Physical Verification CAD Engineer - AI

MediaTek Research Lab Inc.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

The MediaTek Physical Verification team is seeking a qualified candidate to help define and deliver physical sign-off flows and solutions for SoC design, with a focus on enabling technology at advanced process nodes.

What you will do includes collaborating across teams to maintain the rule deck, developing verification flows, reducing defects, performing full-chip verification, and creating automation scripts. AI techniques may be applied to improve productivity and defect triage.

Qualifications

• Bachelor or Master degree in Electrical/Electronics Engineering or Computer Science.
• Familiar with IC design front-to-backend flow.
• Proficient in scripting languages such as Tcl, Perl or C-shell.
• Proficient in UNIX (Linux) platforms.
• Experience or interest in applying AI/LLM-based tools to EDA/CAD automation is a plus.

Responsibilities

• Co-work with PDK, DFM, MF, Designers to code and maintain DRC/LVS/ANT/DMY/ERC/LPE/ESD rule deck for various processes.
• Develop layout implementation flow and physical verification flow.
• Co-work with QA to reduce PDK/rule deck defects.
• Perform full-chip physical verification such as debugging DRC/LVS/ERC.
• Implement automation scripts in Tcl, Perl or C-shell.
• Explore AI techniques to improve rule deck development, defect triage, and verification productivity.

Skills

IC design flow

Scripting Tcl/Perl

Unix/Linux

AI/LLM in EDA

Communication & problem solving

Education

Bachelor/Masters in Electrical/Electronics Engineering or Computer Science

Tools

Calibre

ICV

Job description

The MediaTek Physical Verification team is seeking a qualified candidate to help define and deliver physical sign-off flows and solutions for SoC design, with a focus on enabling technology at advanced process nodes.

What you will do includes collaborating across teams to maintain the rule deck, developing verification flows, reducing defects, performing full-chip verification, and creating automation scripts. AI techniques may be applied to improve productivity and defect triage.