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Chip Physical Verification Data Engineer (Mid/Senior)

Summary

Engineer data pipelines for semiconductor physical-verification flows, integrating EDA tools and design databases to feed analysis and dashboards.

Job Description
  • Responsible for extracting, transforming and loading (ETL) of data generated in various stages of IC Design process (e.g. Physical verification stage).
  • Integrate data from EDA tools (Calibre, DRV, ICV, Fusion Compiler, Innovus), design databases (netlist and layout), and workflow systems.
  • Develop and optimize data workflows to facilitate data collection for analysis, machine learning and dashboard.
  • Ensure data integrity, governance, and security best practices throughout all data engineering processes.
  • Monitor job performance and implement automation and alerting for data operations.
  • Work with on-prem data platform.
  • Collaborate with data analysts and business stakeholders to gather requirements and ensure data quality and availability.
Main Requirements and Qualifications
  • Bachelor/Masters Degree in Electrical/Electronics Engineering or Computer Science
  • Proficient in EDA tools (Calibre, DRV, Laker, ICV) and familiar with IC Design workflow for design data extraction.
  • Proficient in MongoDB, Python or Perl for data processing.
  • Strong data analysis, data verification and problem-solving abilities.
  • Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
  • Familiar with database systems such as Relational Database Management System (MySQL) and Graph database (Neo4j) is a plus.
  • Location: One North, Singapore

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