Nvidia Technical Marketing Engineer DGX Cloud 

United States, California 

788753890

the platformbe successful in building

be doing:

• As a Technical Marketing Engineer, you will focus on accelerating the adoption of NVIDIA DGX Cloud by our customers 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, our partners, and our customers to both 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, technical overviews, etc. 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 as well as customers about DGX Cloud and itscapabilities.

• 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.

What we need to see:

• 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, 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 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 complex 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, and strong ability to defend opinions with both business and technical partners within the organization.

• Bachelors in computer science or engineering or equivalent experience.

• 12+ years of applicable experience.

Ways to stand out from the crowd:

• Familiarity with AI/Deep Learning frameworks and workloads

• Experience with Slurm / Kubernetes / MLOps platforms

• Background with cloud AI platforms and solutions and CSP technologies

• Experience with more than one cloud service provider

• Examples of published work you authored or created