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Physical Design Engineer

Open 25d

Summary

Designs and implements high-performance ASICs from RTL to GDSII for advanced process nodes (7nm–2nm), ensuring timing, power, and area goals are met.

Company Overview

JDI is a Venture Catalyst driving forward the future of innovation. We empower innovative companies to build, grow, and scale across Southeast Asia.
1) Tech JDI - Developing great tech solutions
2) Talent JDI – Growing human capital
3) Launch JDI – Accessing new markets
4) Capital JDI - Raising venture capital
5) Venture JDI - Building new ventures
Our clients range from fast-scaling start-ups to MNCS as well as Unicorns from industries such as e-commerce, cybersecurity, Fintech, F&B, Edtech, etc.

Job Purpose

You will be responsible for the physical implementation of large-scale, high-performance ASICs ranging from 100M to 400M gates. This role involves taking complex designs from RTL/Netlist through to GDSII, ensuring all timing, power, and area (PPA) goals are met using advanced process nodes (7nm down to 2nm).

Key Responsibilities

Full-Flow Implementation: Execute the complete physical design flow, including Floorplanning, Power Grid Design, Placement, Clock Tree Synthesis (CTS), and Routing.

Sign-off Verification: Perform physical verification (DRC/LVS/ERC) and Static Timing Analysis (STA) to ensure the design meets manufacturing requirements.

Architecture Optimization: Work closely with front-end teams to implement CPU/DSP architectures, translating complex algorithms into optimized physical layouts.

Advanced Node Management: Address challenges specific to 5nm, 3nm, and 2nm processes, such as multi-patterning, electromigration, and IR drop.

Automation: Develop and maintain scripts to automate EDA tool flows and improve design productivity.

Requirements

  • Programming: High proficiency in Python, Tcl, and Shell scripting.

  • Architecture Knowledge: Basic understanding of CPU/DSP data paths to better optimize tool placement algorithms.

  • Environment: Advanced UNIX/Linux administration skills (managing disk space, memory, and LSF/Grid jobs).

  • Degree: A Bachelor’s degree in Electrical Engineering (EE), Electronic Engineering, Computer Engineering (CE), or a closely related technical field is the mandatory baseline.

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