Compute Platform Engineer, License Scheduling - EDA Infrastructure

NVIDIA
North Carolina, Texas, Washington, California
Workplace: HybridFull timeUSD 184,000 - 356,500 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 6+ yearsEducation: bachelorsSkills: []

Develop and manage license scheduling policies for NVIDIA’s EDA compute platform, including demand modeling, allocation tuning during tape-out crunch, and preemption behavior. Build telemetry that makes license utilization measurable (feature checkout patterns, queue-time attribution, and waste reduction) and partner with CAD and project teams to translate priorities into scalable share configurations. Use Python and SQL to turn checkout logs into evidence for procurement and improve overall compute budget outcomes.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Compute Platform Engineer, License Scheduling - EDA Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Develop and manage license scheduling policies for NVIDIA’s EDA compute platform, including demand modeling, allocation tuning during tape-out crunch, and preemption behavior. Build telemetry that makes license utilization measurable (feature checkout patterns, queue-time attribution, and waste reduction) and partner with CAD and project teams to translate priorities into scalable share configurations. Use Python and SQL to turn checkout logs into evidence for procurement and improve overall compute budget outcomes.
Location: North Carolina, Texas, Washington, California
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Manage license scheduling policy across the compute platform estate, including hierarchical project shares, distribution policies, and license-based preemption.
  • •Model license demand against entitlement to enable evidence-based procurement negotiations.
  • •Tune allocation policy during tape-out crunch to ensure reliable execution under contention.
  • •Build telemetry systems to make license utilization observable, including 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.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS in Computer Science, Electrical Engineering, or equivalent experience.
  • •6+ years in EDA compute, HPC, or comparable environments with contended licensed resources.
  • •Hands-on experience working directly with a commercial license manager, including troubleshooting license checkout behavior.
  • •Working knowledge of a batch scheduler and how license state interacts with job state.
  • •Data proficiency in Python and SQL, with the ability to convert checkout logs into persuasive evidence.
Experience:6+ yearsEDAHPCCommercial EDA licensing
Education:Bachelor's
Tech Stack:PythonSQL

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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