SeniorCircuitMethodologyEngineer

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We are looking for a Senior Circuit Methodology Engineer that will work closely with Nvidia's circuit design engineering team in the area of infrastructure support as it pertains to circuit design and methodology. The engineer will own and evolve the compute and GPU infrastructure in coordination with our Farm, IT, CAD, and GPU infrastructure teams. The stability and management of these resources underpins our mixed‑signal design and verification flows. This position carries a critical responsibility across the whole circuit design department and impacts the whole company’s farm infrastructure! **What you 'll be doing:** * We need someone who will design, develop, and maintain circuit design and verification flows that run on large‑scale compute and GPU farms located across geographies through various job schedulers. These responsibilities will include: * Proactively monitor farm health and job behavior, identify bottlenecks, and implement solutions to improve throughput, utilization, and turnaround time. * Bring up and release new compute and GPU infrastructure to be used by the team. * Evaluate and qualify new compute and GPU resources, schedulers, and related EDA infrastructure components. * Build automation and tooling to streamline flow setup, job submission, resource allocation, logging, and reporting. * Track important measurements (utilization, queue times, failure rates) and lead ongoing improveme