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Senior Director, Supply Planning Networking Products

US, CA, Santa Clara
Full Time On-site

Summary

Job Description

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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