> Markdown version of [/jobs/ext/2183965-compute-platform-engineer-license-scheduling](https://www.wearedevelopers.com/jobs/ext/2183965-compute-platform-engineer-license-scheduling). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Compute Platform Engineer, License Scheduling - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $133,120.0 - $249,600.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Computing Platforms, Computer Graphics, Python (Programming Language), SQL Databases, Information Technology, Data Analytics - **Published:** August 22, 2026 - **Apply:** https://www.jofdav.com/jobs/59356795-compute-platform-engineer-license-scheduling ## About the Role * 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. Ways to stand out from the crowd: * 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. ## Description NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we're groundbreaking leaders in computer graphics, PC gaming, and accelerated computing. Our Compute Platform team in Santa Clara, CA drives this innovation through flawless license scheduling, ensuring our engineering teams improve their productivity and efficiency. This outstanding role is pivotal in transforming how we prioritize resources, making a substantial impact on our overall compute budget and project success. What you'll be doing: * Managing license scheduling policy throughout the estate, including hierarchical project shares, shared and non-shared distribution policies, and preemption on license rather than slot. * Modeling license demand against entitlement, enabling procurement to negotiate from evidence rather than last year's peak. * Tuning allocation policy through tape-out crunch, ensuring flawless execution even when contention is highest. * Building telemetry systems to make license utilization legible, including feature-level checkout patterns, queue-time attribution, and waste reduction. * Partnering with CAD and project teams to translate business priorities into share configurations that hold up under load. ## Related Videos - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)