Technical Marketing Engineer, DGX Cloud

at Nvidia
📍 Santa Clara, United States
$128,000-253,000 per year
MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 3 Security @ 3 MLOps @ 3 Azure @ 3 Networking @ 3 Product Management @ 3

Details

The DGX Cloud team at NVIDIA builds groundbreaking AI solutions, systems and cloud offerings. This role will be a key person in the technical team helping our customers make the most of their DGX Cloud solutions.

Responsibilities

  • As a Technical Marketing Engineer, you will focus on accelerating the adoption of NVIDIA DGX Cloud by creating public-facing content via code examples, documentation, presentations, webinars, blog posts, etc., focusing on the development, optimization, and integration of key cloud infrastructure and platform technologies in the application and development of AI solutions.
  • This role will work with the other members of the technical marketing team, our engineering, product management, product marketing teams, partners, and customers to develop new integrated solutions and examples showcasing DGX Cloud and its associated technologies, as well as create core product assets and content, such as user guides and technical overviews for new releases and versions of the product.
  • Working with the field, you will leverage these assets and examples to educate and train both our internal teams and customers about DGX Cloud and its capabilities.
  • Public speaking at industry events, internal and external trainings and presentations, giving live demos, and webcasts will be a key part of the job. Some travel is required to support events.

Requirements

  • 5+ years of applicable experience.
  • Knowledge in creating customer-facing assets, product documentation, content such as demos, technical presentations, tutorials, webinars, demo videos, etc. Links to example contributions are greatly appreciated.
  • Experience developing AI workflows and solutions on CSP AI platforms, including examples such as Amazon SageMaker, Azure AI Studio, and Google VertexAI. Experience with more than one cloud is preferred.
  • Experience configuring and managing CSP technologies for storage, compute, networking, security, such as S3 and GCS object storage, VPCs and private links/connectivity, compute clusters, etc. Experience deploying such components for use with AI platforms and solutions is preferred.
  • Background in scripting automation and management of CSP infrastructure platforms and services.
  • Experience in scripting automation and deployment of AI workflows, workloads, and MLOps/LLMOps pipelines.
  • Proven ability to work with and create multi-faceted solutions spanning multiple layers of the AI software stack and ecosystem.
  • Ability to balance multiple projects and responsibilities and prioritize under tight deadlines.
  • Ability to delve into engineering developments and technical details of products, with a strong ability to defend opinions with both business and technical partners within the organization.
  • Bachelors in computer science or engineering or equivalent experience.

Benefits

  • Base salary range is 128,000 USD - 253,000 USD, determined based on your location, experience, and the pay of employees in similar positions.
  • You will also be eligible for equity and benefits.
  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.