Nvidia Senior Technical Product Manager - AI Infrastructure 

United States, California 

721326928

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