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
HPC @ 4
Python @ 6
SQL @ 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
NVIDIA's Compute Platform team in Santa Clara, California, drives innovation through license scheduling that helps engineering teams improve productivity and efficiency. This role focuses on prioritizing contended licensed resources, optimizing compute budgets, and supporting project execution in high-demand environments.
Responsibilities
- Manage license scheduling policy across the estate, including hierarchical project shares, shared and non-shared distribution policies, and preemption on licenses rather than slots.
- Model license demand against entitlement so procurement can negotiate using evidence rather than the previous year's peak usage.
- Tune allocation policy through tape-out crunch to ensure reliable execution when contention is highest.
- Build telemetry systems that make license utilization understandable, 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 remain effective under load.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
- 6 or more years of experience 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.
- Proficiency in Python and SQL, with the ability to turn checkout logs into evidence-based arguments.
Preferred Qualifications
- Direct experience with a dedicated license scheduling layer, including hierarchical project share construction.
- Proven experience managing license allocation during a tape-out and understanding the associated complexities.
- Familiarity with the structure and pricing of commercial EDA licensing models.
- Experience influencing license procurement with evidence-based utilization data.
Benefits
- Base salary range of $184,000–$287,500 for Level 4 or $224,000–$356,500 for Level 5, depending on location, experience, and comparable employee compensation.
- Eligibility for equity and benefits.
- NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until August 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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