In this role, you will hold a central position in the planning and execution of NVIDIA AI Factories. Spectrum-X provides the networking foundation that connects these AI Factories, and continued demand growth requires us to optimize switch operations. You will translate field and segment-team demand into actionable plans and work with a broad cross-functional team to allocate switch supply effectively to partners and customers.
At NVIDIA, you’ll join a diverse, motivated community united by curiosity, creativity, and a shared mission to change the world!
What You'll Be Doing:
Develop a comprehensive view of demand and translate it into clear inputs for planning, operations, and supply teams. Help optimize the end-to-end process of building and delivering products to customers while balancing supply, priorities, and execution constraints.
Maintain a strong understanding of the networking market and the switch business. Use technology roadmaps, industry trends, customer demand, and market dynamics to anticipate future requirements and inform planning decisions.
Partner closely with engineering, product management, architecture, planning, operations, and supply teams to align demand, priorities, and execution plans.
Prepare and present concise, data-driven recommendations, trade-offs, and execution updates to senior executives.
What We Need to See:
Strong analytical capabilities combined with extensive experience in networking, compute infrastructure, supply planning, or operations.
Bachelor’s or master’s degree in computer science, engineering, business, finance, supply chain management, or a related field, or equivalent practical experience.
15+ overall years of experience in product management, business operations, supply planning, or a related leadership role within the compute or networking industry.
7+ years of demonstrated experience leading complex, cross-functional initiatives in multi-stakeholder environments and teams.
Expertise in networking, cloud technologies, AI infrastructure, storage, or accelerated networking technologies such as InfiniBand and Ethernet.
Proven success partnering with enterprise customers and leading cloud service providers to translate requirements into product, demand, or execution plans.
Excellent communication skills in both technical and business contexts.
Ways to Stand Out from the Crowd:
Demonstrated experience using demand, supply, market, or operational data to influence planning decisions in a relevant technology company.
Strong background in data center networking, AI infrastructure, storage, or security technologies.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.You will also be eligible for equity and benefits.
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
- Strong analytical capabilities and extensive experience in networking, compute infrastructure, supply planning, or operations
- Bachelor’s or master’s degree in computer science, engineering, business, finance, supply chain management, a related field, or equivalent practical experience
- 15+ years of overall experience in product management, business operations, supply planning, or a related leadership role within the compute or networking industry
- 7+ years of experience leading complex, cross-functional initiatives in multi-stakeholder environments and teams
- Expertise in networking, cloud technologies, AI infrastructure, storage, InfiniBand, Ethernet, or related accelerated networking technologies
- Proven success partnering with enterprise customers and leading cloud service providers to translate requirements into product, demand, or execution plans
- Excellent communication skills in technical and business contexts
- Experience using demand, supply, market, or operational data to influence planning decisions in a relevant technology company
- Strong background in data center networking, AI infrastructure, storage, or security technologies
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
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.”
