Lead FrontEnd Methodology Engineer

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