Lead Frontend Methodology Engineer

Cadence

Austin, Texas, United States
Extensive knowledge of perl and python
Knowledge of dependency-checking via make or scons
Experience with batch-queuing systems like lsf or pbs
The candidate will maintain and upgrade infrastructure and automation for RTL development and design-verification teams across multiple locations

Job Summary

  • The candidate will maintain and upgrade infrastructure and automation for RTL development and design-verification teams across multiple locations.
  • Responsibilities include managing regression trends, automating error reporting, and supporting users in various server farms located in the cloud and on-premise.
  • Cadence seeks leaders and innovators to make an impact on the world of technology by solving complex engineering challenges.

Matching Summary

The candidate will maintain and upgrade infrastructure and automation for RTL development and design-verification teams across multiple locations.

Skills & Requirements

Must-have

  • Extensive knowledge of Perl and Python
  • Knowledge of dependency-checking via make or SCons
  • Experience with batch-queuing systems like LSF or PBS
  • REST API integration using Jenkins or Jira
  • Linux OS migration and script library maintenance
  • SQL database integration with MariaDB or PSQL
  • Basic Apache setup and web technologies

Nice-to-have

  • BS/MS in Electrical or Computer Engineering
  • Updating and debugging TCL code in verification tools
  • Familiarity with Verilog, SystemVerilog, OVM, or UVM methodologies
  • IT knowledge including NFS, profiling, and DNS/LDAP
  • Jenkins installation and configuration experience
  • Cloud deployment on AWS, Azure, or IBM Cloud
  • Revision control experience with Git or GitHub

Key Requirements

  • At least 7 years of relevant experience
  • BS/MS degree in Electrical or Computer Engineering (Desirable)

Work Rights

Not specified

Tailored Resume

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