Senior Technical Product Manager - AI Infrastructure

US, CA, Santa Clara, United States

NVIDIA

NVIDIA on grafiikkasuorittimen keksijä, jonka kehittämät edistysaskeleet vievät eteenpäin tekoälyn, suurteholaskennan.

View all jobs at NVIDIA

Apply now Apply later

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)

  • 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

  • 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.

The base salary range is 208,000 USD - 327,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

Apply now Apply later
Job stats:  0  0  0

Tags: Computer Science CX Engineering Generative AI HPC Kubernetes Linux LLMOps LLMs Machine Learning ML infrastructure MLOps Research

Perks/benefits: Competitive pay Equity / stock options

Region: North America
Country: United States

More jobs like this