Join NVIDIA’s outstanding team and help us lead the next revolution in computing powered by artificial intelligence! As a Principal Product Manager for our Networking Platform Product Group, you will play a pivotal role in crafting the future of AI storage architectures. Located in Santa Clara, this outstanding opportunity allows you to work with industry-leading technology and a world-class team.
In this role, you'll direct NVIDIA's CMX (Context Memory Storage) and BlueField Storage platforms for the world's most fast paced storage and data-center customers. Your work will define how next-generation AI storage architectures connect to accelerated computing, developing the infrastructure behind AI, cloud, and enterprise workloads at global scale. At NVIDIA, you will become part of a diverse community driven by curiosity, creativity, and a common goal to impact the world. Our Networking Platform Product Group develops the ConnectX and BlueField products and solutions, which are key elements of NVIDIA's data-center and AI strategy. The BlueField AI Native data platforms combine networking, storage, and compute. You will lead the product growth for this emerging platform portfolio.
What You'll be doing:
Manage the complete strategy and roadmap for BlueField storage platforms, encompassing NVIDIA's CMX product line, and expand it into a top-tier, multi-generation portfolio within the industry.
Define the long-term vision for BlueField storage platforms and CMX in data centers, transforming market trends, customer needs, and partner input into clear product requirements.
Build positive relationships with customers and partners, understand their technical needs, and help build next-generation storage architectures.
Partner with engineering and architecture teams to prioritize features, navigate trade-offs, and deliver products that excel in performance, scale, and reliability.
Work with account teams, sales, and field engineering globally to drive adoption, support large deployments, and enhance business outcomes.
What We Need to See:
BS or MS, or equivalent experience, in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
15+ years of product management leadership in storage, semiconductors, or data center infrastructure, including senior or director-level roles.
Deep expertise in storage architectures, NVMe/NVMe-oF, storage fabrics, SDS, and enterprise and cloud workloads.
Direct experience with hyperscalers, strategic enterprise customers, and ecosystem partners, influencing direction and closing large deals.
Strong executive presence, capable of participating in both engineering deep dives and C-level discussions.
Strong cross-functional leadership, with the ability to bring engineering, sales, marketing, and partners into alignment without direct authority.
US-based and willing to travel.
Ways to Stand Out from the Crowd:
Product leadership experience in a storage fabric line at a storage vendor, hyperscaler, or silicon company.
Established relationships with senior decision-makers at leading storage OEMs, ISVs, and cloud providers.
Track record of growing a single product into a broader portfolio spanning SKUs, software, and services.
Familiarity with NVIDIA's BlueField, ConnectX, and DOCA ecosystem, and how accelerated networking fits into modern storage stacks.
Widely regarded as one of the technology world’s most sought-after employers, NVIDIA provides highly competitive salaries and an extensive benefits package. As you consider your future, explore what we can offer you and your family at www.nvidiabenefits.com
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 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
- BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field
- 12+ years of product management leadership in storage, semiconductors, or data center infrastructure
- Deep expertise in storage architectures, NVMe/NVMe-oF, storage fabrics, SDS, and enterprise and cloud workloads
- Direct experience with hyperscalers, strategic enterprise customers, and ecosystem partners
- Strong executive presence for engineering deep dives and C-level discussions
- Strong cross-functional leadership to align engineering, sales, marketing, and partners
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.
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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.
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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.
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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.”
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