Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Ansible @ 4
CentOS @ 6
Compliance
Linux @ 6
Networking @ 6
Observability
Python @ 4
Security @ 6
System Administration @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As an EDA License Engineer at NVIDIA, you will manage and optimize engineering software licenses while collaborating with engineers and infrastructure teams to support innovation and engineering efficiency.
Responsibilities
- Own the day-to-day operation and lifecycle management of FlexLM/FLEXnet EDA license servers in Linux environments, including installations, 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 the reliability and observability of license infrastructure through automation, monitoring, and analysis of license usage and trends.
- Lead or own small- to medium-sized projects that 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.
Requirements
- 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, particularly with 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 technical and non-technical collaborators.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- At least 5 years of experience in a related field.
Additional Qualifications
- Experience automating operational workflows using Python, shell scripting, or infrastructure tooling such as Ansible.
- Familiarity with license allocation methods such as options files, dedicated license pools, and batch scheduling allocation using License Scheduler.
- Experience supporting EDA toolchains such as Synopsys, Cadence, or Siemens in large engineering environments.
- Exposure to security, export-control, or access-restriction requirements in shared compute environments.
- Prior ownership of infrastructure projects that improved reliability, scalability, or operational efficiency.
Compensation and Benefits
The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. Salary is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.
Applications will be accepted at least until June 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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