Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Security @ 3
System Administration @ 3
Ansible @ 3
CentOS @ 3
Linux @ 3
Python @ 3
Networking @ 3
Data Analysis @ 3
Compliance @ 3
Observability @ 3
AI @ 3
- 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 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!
Responsibilities
- 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.
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 (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, Engineering, or equivalent experience.
- 5+ years of experience in a related field.
Ways to stand out
- Experience automating operational workflows using scripting (Python or shell) or infrastructure tooling such as Ansible.
- Familiarity with license allocation methods such as using options files, dedicated license pools, and batch scheduling allocation such as License Scheduler.
- Experience supporting EDA toolchains (e.g., Synopsys, Cadence, 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 & Benefits
- Base salary range: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. Base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
Additional information
- Location: Santa Clara, CA, United States. #LI-Hybrid
- Time type: Full time. Applications accepted at least until June 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.