Technical Marketing Engineer, DGX Cloud

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins.
$200,000 - $322,000
Cloud
Staff Software Engineer
In-Person
12+ years of experience
AI · Enterprise SaaS

Description For Technical Marketing Engineer, DGX Cloud

NVIDIA's DGX Cloud team is seeking a Technical Marketing Engineer to drive the adoption of their groundbreaking AI solutions and cloud offerings. This role combines technical expertise with customer-facing responsibilities, focusing on creating comprehensive documentation, examples, and training materials for DGX Cloud platform.

The position requires a seasoned professional with extensive experience in cloud platforms, particularly in AI and machine learning implementations. You'll work at the intersection of technical development and customer success, creating content that helps users maximize their DGX Cloud solutions. The role involves collaboration with various teams including engineering, product management, and marketing.

Key aspects of the role include developing technical content, from code examples to webinars, managing cloud infrastructure, and implementing AI workflows. The ideal candidate should have strong experience with multiple cloud service providers and AI platforms, along with excellent communication skills for presenting at industry events and conducting training sessions.

NVIDIA offers a competitive compensation package, including a base salary range of $200,000 to $322,000, plus equity and comprehensive benefits. The company is known for its innovative culture and commitment to pushing technological boundaries in AI and accelerated computing. This role provides an opportunity to work with cutting-edge AI technology while helping shape how customers implement and succeed with NVIDIA's cloud solutions.

Last updated 19 minutes ago

Responsibilities For Technical Marketing Engineer, DGX Cloud

  • Create public-facing content via code examples, documentation, presentations, webinars, and blog posts
  • Develop new integrated solutions and examples showcasing DGX Cloud
  • Create core product assets such as user guides and technical overviews
  • Educate and train internal teams and customers about DGX Cloud
  • Present at industry events and give live demos
  • Support product releases and versions

Requirements For Technical Marketing Engineer, DGX Cloud

Kubernetes
  • Bachelor's degree in computer science or engineering or equivalent experience
  • 12+ years of applicable experience
  • Experience with CSP AI platforms (Amazon SageMaker, Azure AI Studio, Google VertexAI)
  • Knowledge in creating customer-facing assets and product documentation
  • Experience configuring and managing CSP technologies for storage, compute, networking, security
  • Background in scripting automation and management of CSP infrastructure
  • Experience in MLOps/LLMOps pipelines
  • Proven ability to work with complex multi-faceted AI solutions
  • Strong communication and presentation skills

Benefits For Technical Marketing Engineer, DGX Cloud

Equity
  • Equity grants
  • Comprehensive benefits package

Interested in this job?

Jobs Related To NVIDIA Technical Marketing Engineer, DGX Cloud

Applied Science Research Lab Manager

Lead the development and management of next-generation supercomputing clusters at NVIDIA, overseeing technical operations and team leadership in scientific computing research.

Senior Manager - Storage Production Engineering

Lead Storage Production Engineering team at NVIDIA, focusing on cloud-scale storage systems and SRE practices.

Staff Software Engineer - End-User Compute Platform

Staff Software Engineer position at NVIDIA focusing on cloud desktop platform development, offering competitive salary and opportunity to work on cutting-edge technology.

Software Engineering Manager - Cloud Infrastructure Services, DGX Cloud

Lead Site Reliability Engineering team for NVIDIA's DGX Cloud Computing platform, managing observability and infrastructure operations.

Senior Manager - Compute Infrastructure Engineering

Lead NVIDIA's Compute Infrastructure Engineering team, driving innovation in cloud, containerization, and infrastructure automation while managing critical IT services and transformational initiatives.