Lead FrontEnd Methodology Engineer

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

The candidate will have responsibilities to maintain/upgrade infrastructure/automation for RTL development and design-verification teams at multiple locations using multiple server farms, some in the Amazon and IBM clouds and some on-premise. The candidate will also have responsibilities in managing/monitoring regression trends, automating error/defect reporting, and supporting users in various server farms.

The candidate will have responsibilities to maintain/upgrade infrastructure/automation for RTL development and design-verification teams at multiple locations using multiple server farms, some in the Amazon and IBM clouds and some on-premise. The candidate will also have responsibilities in managing/monitoring regression trends, automating error/defect reporting, and supporting users in various server farms.

We’re looking for a candidate who has the following skillsets:
• Extensive knowledge of Perl and Python
• Knowledge of dependency-checking via make, SCons
• LSF or other batch-queuing system (e.g. Grid, PBS, Open Lava), and script integration
• Using REST API (e.g. Jenkins, Jira) from Perl, Python
• Migrating scripts, script-libraries to different Linux OS releases
• Knowledge of SQL, relational database engines like MariaDB or PSQL, and integration with Perl/Python
• Knowledge of web technologies: Basic Apache setup, PHP, Javascript/Jquery, RSS automation

These Skillsets And Knowledge Would Also Be Desirable
• BS/MS - Electrical / Computer Engineering.
• At least 7 years of of relevant experience.
• Updating/debugging TCL code embedded in a variety of tools, such as simulator, waveform-viewer, formal verification, in-house interpreter, etc.
• Knowledge of Verilog, SystemVerilog testbenches; some familiarity with methodologies like OVM or UVM; incorporate DPI or PLI models
• Some IT knowledge: NFS, memory/CPU profiling, NIS/DNS/LDAP, SMTP, syslog, cron, etc
• Jenkins install/configuration/management
• Module-files and modulecmd to manage tools and tool-versions
• Cloud deployment/maintenance: Amazon Web Services, MS Azure, IBM Cloud
• Experience with revision control like git or GitHub
• The position is based in Austin/San Jose/Bangalore (India)

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