Compute Platform Engineer, License Scheduling

NVIDIA

Compute Platform Engineer optimizing NVIDIA’s EDA license scheduling and telemetry. Managing resource allocation, utilization modeling, and procurement evidence for accelerated-computing teams.

Posted 8/20/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing license scheduling policies and optimizing license utilization through data analysis and collaboration with project teams. Proficient in Python and SQL for data-driven decision-making in EDA environments.

Highest-signal resume keywords

License Scheduling ManagementData Proficiency in PythonCommercial License Manager ExperienceBatch Scheduler KnowledgeEDA Licensing Model Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

License AllocationLicense Utilization AnalysisCheckout Log AnalysisHierarchical Project Share BuildEvidence-Based Procurement Negotiation

Tools & Technologies

HPCEDA ToolsCommercial License ManagerBatch Scheduler

Industry Keywords

EDA ComputeContended Licensed ResourcesTape-Out ProcessLicense Procurement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage license scheduling policy throughout the estate, including hierarchical project shares, shared and non-shared distribution policies, and preemption on license rather than slot
Model license demand against entitlement to support evidence-based procurement negotiations
Tune allocation policy through tape-out crunch to ensure flawless execution during peak contention
Build telemetry systems for license utilization, including feature-level checkout patterns, queue-time attribution, and waste reduction
Partner with CAD and project teams to translate business priorities into share configurations that hold up under load

Requirements

What you’ll need

BS in Computer Science, Electrical Engineering, or equivalent experience
6+ years in EDA compute, HPC, or a comparable environment with contended licensed resources
Practical experience working directly with a commercial license manager, including troubleshooting checkout behavior
Working knowledge of a batch scheduler and understanding of how license state and job state interact
Data proficiency in Python and SQL, with the ability to turn checkout logs into compelling arguments
Direct experience with a dedicated license scheduling layer, including hierarchical project share build
Proven track record of working through license allocation during a tape-out and understanding the intricacies involved
Familiarity with the structure and pricing of commercial EDA licensing models
Experience in influencing license procurement with evidence-based utilization data

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity
Benefits for employees and their families