Editorial summary

The company is seeking a Senior/IC Design Engineer specializing in Physical Design to perform RTL-to-GDS physical implementation of ASIC IP, subsystems, and SoCs using advanced EDA tools and AI-assisted methodologies. The role involves developing synthesis, DFT, and timing closure strategies, integrating multiple IP blocks, and collaborating with cross-functional teams to meet power, performance, and area targets. Key requirements include expertise in DRC/LVS, static timing analysis, scan/DFT validation, and GDS tape-out verification. The position offers a salary of 10,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 24368 first appeared in Job-Q.com on 07 Aug 2026]


Job Description

  • Perform RTL-to-GDS physical implementation for ASIC IP/subsystem/SoC designs using industry-leading EDA tools and AI-assisted methodologies
  • Develop and execute synthesis, Design-for-Test (DFT), and timing closure strategies, including DRC/LVS, static timing analysis (STA), scan/DFT validation, and GDS tape-out verification, leveraging AI-assisted methodologies to achieve successful tape-out.
  • Integrate multiple IP blocks and subsystems into a top-level chip layout.
  • Collaborate with cross-functional stakeholders to achieve power, performance, area (PPA), and timing goals.
  • Design, implement, and maintain synthesis, DFT, and STA scripts using industry best practices to improve automation, flow robustness, and design quality.
  • Leverage AI/LLM tools to automate workflows, accelerate analysis, optimize place-and-route (PnR) and timing prediction, and generate design constraints to improve productivity and design quality.

Requirements

  • Bachelor/Master Degree in Electronics/Electrical/Computer Engineering, or a related field, with at least 1 year of relevant experience.
  • Experience in RTL-to-GDS physical design, including synthesis, floor planning, placement, Layout, clock tree synthesis (CTS),routing, timing closure, physical verification, and design optimization.
  • Good understanding of timing constraints development and Static Timing Analysis (STA).
  • Demonstrated use of LLMs and AI coding assistants to automate workflows, debug scripts, and generate documentation.
  • Proficiency in scripting (Tcl, Python, Perl, Shell, and Makefile), as well as Verilog, SystemVerilog, C, and C++.
  • Experience with AI-assisted backend EDA tools (e.g.,Synopsys, Cadence) is preferred.
  • Self-motivated team player with strong verbal and written communication skills.


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Job Summary

  • Published on: 07 Aug, 2026
  • Category: Engineering
  • Vacancy: 1
  • Job type: Full Time
  • Salary: 10000
  • Location: On site
  • Job Nature: Full Time

Company Details