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NVIDIA

Designs the chips and software that power AI

Senior Technical Product Marketing Manager - Cosmos Framework

Product MarketingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Artificial Intelligence, Robotics, Engineering, or equivalent experience is required; an MBA is preferred.
  • At least 8 years of experience in technical product marketing, product marketing, product management, developer relations, software development, or a related developer-platform role.
  • Prior hands-on experience in software development, machine learning engineering, developer advocacy, technical product management, or a similarly technical role, with understanding of Python, PyTorch, model training and post-training, evaluation workflows, GitHub, containers, and accelerated computing.
  • Experience building go-to-market and adoption strategies for open-source AI frameworks, models, software development kits, application programming interfaces, or developer platforms.
  • Experience working directly with open-source maintainers, contributors, developer communities, and ecosystem partners.
  • Ability to develop technically credible content and hands-on developer experiences, and use adoption metrics and community feedback to improve positioning, onboarding, and product strategy.
  • Ability to translate sophisticated model-development capabilities into clear developer and business value.
  • Ability to lead cross-functional initiatives across product management, engineering, research, developer relations, business development, marketing, and executive partners.

Responsibilities

  • Own technical product marketing and developer go-to-market for NVIDIA Cosmos Framework.
  • Define the framework's positioning, messaging, value proposition, developer personas, adoption journeys, interoperability story, and launch strategy, establishing it as an open-source foundation that complements partner technologies and helps teams develop, customize, and integrate Physical AI models.
  • Help world model, world action model, and open-model builders succeed and expand adoption among robotics teams, autonomous-system developers, AI research organizations, and simulation partners through programs covering setup, experimentation, training, post-training, customization, adaptation, evaluation, benchmarking, optimization, and integration with data and simulation workflows.
  • Support partner-led Day 0 launches for world-model and open-model companies by collaborating on joint positioning, integration mentorship, technical quick starts, reference workflows, demos, workshops, sample applications, and launch assets that showcase partner technology and accelerate adoption from the first day of availability.
  • Build open-source adoption and joint go-to-market programs that help world-model and open-model builders reach developers through GitHub, Hugging Face, developer communities, research organizations, cloud and AI infrastructure companies, robotics companies, simulation partners, and model-development platforms.
  • Partner with product management, engineering, research, and developer relations to improve documentation, onboarding, usability, and developer experience, translating developer feedback, community signals, and adoption data into product and roadmap recommendations.
  • Define success metrics for developer activation, repeat usage, community engagement, ecosystem integrations, and framework adoption.
  • Coordinate NVIDIA's support for partner-led launches across developer relations, solution architects, business development, worldwide sales, corporate marketing, analyst relations, public relations, and investor relations.
  • Represent NVIDIA Cosmos Framework with developers, researchers, customers, partners, analysts, and industry leaders.

Desired Qualifications

  • Hands-on experience building, adapting, or evaluating world models, world action models, vision-language-action models, diffusion models, or multimodal foundation models.
  • Experience with NVIDIA Cosmos, NVIDIA NeMo Framework, PyTorch, Hugging Face, CUDA, or comparable open AI frameworks.
  • Contributions to open-source AI or robotics projects as a maintainer, contributor, technical author, or community leader.
  • Experience working across world-model, simulation, robotics, autonomous-vehicle, or embodied-AI ecosystems, with a track record of building partner-first developer programs.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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