- 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
- 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)
Lead FrontEnd Methodology Engineer - Bengaluru / Bangalore, India - Cadence
Description
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:
These skillsets and knowledge would also be desirable: