Knowledge of project(s) in any of the design by executing – RTL Design / Verification / DFT / Physical Design / STA / PV / Circuit Design / Analog Layout etc.
- Understanding of the design flow and methodologies used in the designing
- Understand the assigned tasks and have sufficient knowledge to execute the project tasks assigned by the client / manager as per known skills
Additional Comments:
Job Overview: The PD CAD Engineer will be responsible for developing, maintaining, and optimizing physical design flows, working closely with the design and CAD teams. This role requires a deep understanding of EDA tools, physical design methodologies, and proficiency in scripting languages for automation. Key Responsibilities: • Develop and support automated physical design (PD) CAD flows, including floorplanning, placement, and routing optimization. • Customize and optimize physical design flows using industry-standard EDA tools (such as Synopsys Fusion Compiler, Cadence Innovus). • Collaborate with the design and CAD teams to improve PD workflows, ensuring robust and efficient flow from RTL to GDSII. • Implement automation scripts using TCL, Perl, and Python to improve flow reliability and reduce design cycle time. • Perform tool evaluations and benchmarking to keep PD flows up-to-date with the latest EDA advancements. • Provide documentation, training, and support to the design team on PD flows and methodologies. • Analyze physical design metrics and optimize layouts to meet area, power, and performance (PPA) requirements across advanced technology nodes. Qualifications: • Bachelor’s or Master’s degree in Electrical Engineering, VLSI, or a related field. • 8+ years of experience in physical design or CAD flow development for VLSI. • Strong experience with EDA tools for physical design, including Synopsys ICC2, Cadence Innovus, or similar tools. • Proficiency in scripting languages (TCL, Perl, Python) to create and enhance CAD automation scripts. • Understanding of PD flows, including floorplanning, placement, clock tree synthesis (CTS), and routing. • Familiarity with timing closure and DRC/LVS signoff methodologies. Preferred Skills: • Experience with multi-corner multi-mode (MCMM) analysis and optimization. • Knowledge of advanced technology nodes ( sub 10nm) and challenges associated with physical design. • Familiarity with low-power design techniques