We are looking for a Senior Manager, Memory Planning - Chips Supply Planning, located at our Corporate Headquarters in Santa Clara, CA. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, deep learning, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us take on some of these extraordinary opportunities.

What you'll be doing:

• You will be responsible for analyzing memory supply requirements, completing memory purchases, and recommending strategies to support memory needs in alignment with the business unit
• Develop, mentor, and lead a team of high performing supply chain planners responsible for memory supply
• Build and cultivate a positive relationship with the business unit to minimize memory shortages, analyze tradeoffs, and implement critical initiatives
• Align memory needs and priorities across executive partners
• Collaborate with planning teams across the supply chain to validate and prioritize supply gap closure
• Engage the business, engineering, and operations to understand memory needs for future products
• Adapt memory planning processes, including tools and reports, to support current and future business needs

• BA/BS degree in Supply Chain, Engineering, Business, or equivalent experience
• 10+ overall years of experience in global supply chain/operations, with background in semiconductors and memory planning/manufacturing
• 5+ years of leadership experience
• Expertise in High Bandwidth Memory (HBM) planning and manufacturing
• Strong understanding of advanced planning software/ERP, preferably SAP, Anaplan, Excel, and other business software applications
• Proven ability to work in a fast-paced operations environment with multifaceted and dynamic constraints
• Outstanding problem solving, analytical and sophisticated modeling skills
• Outstanding executive communication and collaboration skills

• Experience applying AI and ML to improve business processes
• Strong sense of ownership and attention to detail
• Excellent organizational skills, with the ability to balance multiple assignments concurrently
• Ability to find creative, out-of-the-box solutions and approaches to complex problems