Compute Platform Engineer, License Scheduling

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.

What we need to see:

• 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.