Senior Director, Supply Planning Networking Products

Posted 2 Days Ago
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Santa Clara, CA, USA
In-Office
292K-443K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead end-to-end supply planning strategy and governance for networking products (optics, switches, adapters). Build scalable planning frameworks across chips, memory, capacity, and manufacturing; ensure data integrity (BOMs, yields, cycle times); accelerate time-to-market via complexity reduction and AI-enabled planning; and manage and develop global supply planning teams.
Summary Generated by Built In

Are you ready to lead the supply planning strategy for a company at the forefront of AI and accelerated computing? NVIDIA is seeking a Senior Director, Supply Planning for our networking products division! This high-impact role will develop supply planning capabilities aligned to NVIDIA’s explosive growth in the AI and data center markets. With a focus on optics, switches, adapters, and the broader planning ecosystem, you will ensure stable, long-range supply commitments that keep pace with our rapid expansion. Join us in Santa Clara, CA, and be a part of our outstanding journey!

What you'll be doing:

  • Own the end-to-end supply planning strategy and governance, supporting business objectives and achieving revenue goals.

  • Develop and evolve a scalable planning framework spanning chips, networking, memory, capacity, and server 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:

  • 18+ years of overall experience in supply planning, with deep expertise in optics (transceivers) and switches.

  • 8+ years of experience in a role leading teams or projects, with or without direct reports

  • Proven experience leading global teams.

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

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

  • Experience in 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.

  • Familiarity with optics/transceiver supply chains and key supplier ecosystems.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range 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 June 20, 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.

Skills Required

  • 18+ years of overall experience in supply planning, with deep expertise in optics (transceivers) and switches.
  • 8+ years of experience leading teams or projects (with or without direct reports).
  • Proven experience leading global teams.
  • 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.
  • 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.
  • Familiarity with optics/transceiver supply chains and key supplier ecosystems.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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, NVIDIA is increasingly known as “the AI computing company.”

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