Technical Program Manager managing infrastructure capacity for NVIDIA's chip roadmap. Leading processes and strategies to optimize server and data center management across the organization.
Responsibilities
Own end-to-end capacity management strategy and execution for EDA Farm, including server procurement, vendor negotiations, server capacity allocation, data center space & power, delivering measurable efficiency and cost optimization across the organization
Identify and help drive implementation of improvements to EDA Farm infrastructure tooling, automation, and workflows that accelerate server provisioning, reduce manual overhead, and scale capacity management operations
Drive capacity and procurement initiatives using agile program methodology, aligning planning, prioritization, and delivery across engineering, procurement, and vendor partner teams
Build and maintain a data-driven capacity model, using metrics and business objectives to improve farm utilization, procurement performance, and vendor SLA consistency — turning insights into actionable cost and capacity optimizations
Create clear, consistent communication channels that give customers at every level real-time insight into farm capacity health, procurement timelines, supply chain risks, and mitigation plans
Act as a primary technical and strategic partner between engineering, procurement, finance, and hardware vendors to ensure EDA Farm capacity optimally meets the demands of design and verification teams
Requirements
B.S. (or equivalent experience) in Electrical Engineering, Computer Science or a related technical field
12+ years of proven experience across Capacity Engineering, Capacity Management and/or Technical Program Management roles within the Capacity space
Experience working with large scale infrastructure with various CPU/GPU architectures both on-prem and cloud
Exceptional communication and presentation skills for diverse technical and non-technical audiences
Proactive in identifying and implementing positive changes in both system and process design in a fast-paced environment
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