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NVIDIA

Senior Director, Boards and Systems Supply Planning

NVIDIA is hiring a Senior Director, Boards and Systems Supply Planning in Santa Clara, United States. It pays $292k-$443k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as an executive role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Are you ready to lead supply planning strategy for a company at the forefront of AI and accelerated computing? NVIDIA is seeking a Senior Director, Supply Planning for our Boards and Systems products. This high-impact role will develop supply planning capabilities to advance explosive growth in the AI and data center markets. Passionate about Data Center and all L6, L10 boards and systems, you will ensure stable, efficient supply commitments that further our rapid expansion. Join us in Santa Clara, CA, and be a part of our outstanding journey!

What you'll be doing:

  • Take charge of the complete supply planning strategy and oversight, aligning with business goals and driving revenue targets.

  • Develop and evolve a scalable planning framework spanning chips, networking, memory, capacity, for boards and systems manufacturing to support rapid growth.

  • Ensure the integrity of key planning data inputs, such as BOM structures, factory yields, and cycle times, by maintaining a strict cadence with assumption owners.

  • Accelerate time-to-market by reducing supply chain complexity and implementing next-generation planning methodologies using AI capabilities.

  • Manage and elevate direct reports, ensuring continuous training and knowledge sharing throughout the supply chain organization.

What we need to see:

  • More than 18 years of overall comprehensive experience in supply planning, with extensive knowledge in boards and systems and 10+ years of management experience.

  • Adept at executive level communication

  • Proven people leadership: builds multi-site global teams that develop and promote from within

  • Strong understanding of manufacturing processes, capacity planning, and MRP.

  • Demonstrated success in implementing planning tools and driving their adoption.

  • Experience supporting data centers, AI, networking systems, or high-performance computing products.

  • MBA or advanced technical degree, or equivalent experience.

Ways to stand out from the crowd:

  • Experience with supply chain planning tools or platforms powered by artificial intelligence or machine learning.

  • Prior experience at a hyperscaler, cloud provider, or semiconductor company.

  • Hands-on experience in datacenter and workstation supply chains, with direct experience crafting and implementing new processes embedded in tools.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 292,000 USD – 442,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Director, Boards and Systems Supply Planning at NVIDIA rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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