NVIDIA
EDALicenseEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“EDA License Engineer at NVIDIA. Skills: FlexLM/FLEXnet, Linux, Automation. Own day-to-day operation. lifecycle management of FlexLM/FLEXnet EDA license servers”
What You'll Achieve.
ensure license compliance; access control; export-restricted usage policies; Improve reliability and observability; improve licensing workflows; tooling; operational scalability; support broader team knowledge sharing; affecting engineering efficiency
Industry & Context.
Diagnose and resolve license availability; checkout; performance issues
What They're Looking For.
Must Have
hands-on experience with FlexLM / FLEXnet licensing, server configuration, license files, daemons, troubleshooting, Solid Linux system administration skills, RHEL/CentOS, process management, logging, networking basics, scripting, Experience operating production infrastructure, high availability, reliability expectations, Ability to work independently, sound technical judgment, Demonstrated ability to collaborate across teams, communicate clearly with both technical and non-technical collaborators, 5+ years of experience in a related field
Nice to Have
Reprise License Manager, Experience automating operational workflows, python, shell, Ansible, license allocation methods, options files, dedicated license pools, batch scheduling allocation, License Scheduler, Experience supporting EDA toolchains, Synopsys, Cadence, Siemens, security, export-control, access-restriction requirements, shared compute environments, Prior ownership of infrastructure projects, improved reliability, scalability, operational efficiency
What You'll Do.
Own day-to-day operation
lifecycle management of FlexLM/FLEXnet EDA license servers
Diagnose and resolve license issues
Partner with EDA tool owners
security collaborators
Improve reliability and observability
improve licensing workflows
operational scalability
Contribute documentation
Serve as technical point of contact
How You'll Work.
Team & Collaboration
collaborate with world-class engineers; Partner with EDA tool owners; infrastructure teams; security collaborators; collaborate across teams; communicate clearly with both technical and non-technical collaborators
Communication Scope
communicate clearly with both technical and non-technical collaborators
Process & Methodology
Lead or own small to medium-sized projects
Full Job Description
As an EDA License Engineer at NVIDIA, you will play a crucial role in managing and optimizing our engineering software licenses. This position offers an outstanding opportunity to collaborate with world-class engineers and contribute to groundbreaking innovations! **What you’ll be doing:** * Own the day-to-day operation and lifecycle management of FlexLM/FLEXnet EDA license servers in Linux environments, including installs, upgrades, renewals, rereads, and decommissioning. * Diagnose and resolve license availability, checkout, and performance issues using tools such as lmstat, debug logs, and operational telemetry. * Partner with EDA tool owners, infrastructure teams, and security collaborators to ensure license compliance, access control, and export-restricted usage policies. * Improve reliability and observability of license infrastructure through automation, monitoring, and data analysis of license usage and trends. * Lead or own small to medium-sized projects to improve licensing workflows, tooling, or operational scalability. * Contribute documentation, operational runbooks, and guidelines to support broader team knowledge sharing. * Serve as a technical point of contact for license-related incidents and blocking issues affecting engineering efficiency. **What we need to see:** * Strong hands-on experience with FlexLM / FLEXnet licensing, including server configuration, license files, daemons, and troubleshooting. Familiarity with Reprise License Manager is a plus. * Solid Linux system administration skills (RHEL/CentOS), including process management, logging, networking basics, and scripting. * Experience operating production infrastructure with high availability and reliability expectations. * Ability to work independently within broadly defined objectives and exercise sound technical judgment. * Demonstrated ability to collaborate across teams and communicate clearly with both technical and non-technical collaborators. * Bachelor’s degree in Computer Science
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