Senior Technical Product Manager - AI Infrastructure

NVIDIA•Santa Clara, CA

About The Position

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!

Requirements

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
Proven track record in product management, particularly within the technology sector, with experience serving enterprise customers.
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.
Familiarity with AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries.
Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.
Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.
Lead the product lifecycle from ideation to launch and post-launch support.

Nice To Haves

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

Responsibilities

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