NVIDIA data centers are powering the most sophisticated, groundbreaking research and AI products for the company. We are looking for a Senior Product Manager that will drive the roadmap and deliver features that will move the needle for our customers. This role will touch upon everything from Data Center Infrastructure, to Kubernetes container management, as well as AI training software used by researchers and developers. Are you passionate about building highly complex yet usable products? Do you like working on innovative technology that boosts AI developer efficiency? If so this is an ideal role for you!
What You'll be Doing:
Define product strategy and solutions for NVIDIA's Enterprise Infrastructure products using NVIDIA DGX and NVIDIA Networking.
Create GTM Collaterals and evangelize to the customers.
Distill insights from strategic customers and partners to define, prioritize and complete product roadmaps.
Engage with internal collaborators and ecosystem partners to define solutions that improve customer experience and efficiency at the data center solution level
Create GTM Collaterals and act as the evangelist with sales and marketing teams for new DGX solutions
What We Need to See:
BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience) and 12+ years of product management, or similar, experience at a technology company serving enterprises
Product Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving enterprise customers.
Technical Expertise: Deep understanding of AI/ML infrastructure, high-performance computing (HPC) and networking ; cloud technologies (IaaS, PaaS) such as containerization, Kubernetes and automation tools
Expertise in designing and architecting server platforms, including GPUs, CPUs, storage, and networking.
Proficiency in network architecture, protocols (Infiniband, Ethernet, RoCE) and high-performance interconnects.
Experience with containerization technologies like Docker and Kubernetes, and virtualization.
AI/ML Knowledge: Familiarity with AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries.
Leadership and Collaboration: Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.
Strategic and Analytical Thinking: Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.
Understanding of the Product Lifecycle: Lead the product lifecycle from ideation to launch and post-launch support.
Ways to Stand Out from the Crowd:
Familiarity with the MLOps and LLMOps ecosystem and experience building integrations with popular enterprise platforms
Experience deploying systems at scale in modern data center environments
Used or built Gen AI services to automate a business need or information retrieval
Deep experience in Linux and OSS automation tools
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're a creative and autonomous with a genuine passion for technology, 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 208,000 USD - 327,750 USD.You will also be eligible for equity and benefits.
Top Skills
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.”
