Staff EDA Licensing & Infrastructure Engineer
Marvell · Santa Clara, CA
About this role
Marvell is hiring a staff-level Infrastructure Engineer in the software engineering function based in Santa Clara, CA. The posting calls out experience with Linux, Observability, Incident Response, Automation.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Santa Clara, CA
- Posted
- May 5, 2026
More roles at Marvell
Job description
from Marvell careersAbout Marvell
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
As a CAD engineer in Marvell Central Engineering, you will lead EDA license infrastructure strategy and operations to maximize tool availability, compliance confidence, and cost efficiency. You will drive automation, self-service visibility, and selective AI-assisted analytics to scale reliability and optimize usage across global engineering teams.What You Can Expect
Core EDA License Operations
- Own day-to-day EDA license server operations, ensuring high availability, performance, and reliability across global engineering teams.
- Administer, troubleshoot, and resolve complex license issues involving FlexNet/FLEXlm and vendor-specific license managers.
- Monitor real-time license usage, queues, denials, and expirations; proactively address bottlenecks and outages.
- Manage license configurations, feature mappings, and allocation policies aligned with project priorities.
- Partner with engineering teams to support critical tapeouts, regressions, and peak-demand phases.