Senior Technical Program Manager, Cloud Infrastructure

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1

Senior Technical Program Manager for NVIDIA DGX Cloud, focusing on cloud infrastructure bring-up, AI capacity enablement, and program management. Requires extensive experience in cloud infrastructure, preferably with AI/ML exposure, and strong program management tool proficiency.

What you'd actually do

  1. Gathering technical requirements, developing comprehensive roadmaps, achieving breakthroughs, and ensuring adherence to our Product Lifecycle (PLC) process.
  2. Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.
  3. Collaborating cross-functionally internally and externally to understand partner capabilities, build a bridge to NVIDIA reference architectures and drive execution
  4. Identifying and driving opportunities to onboard the adoption of third-party and in-house solutions for deployments, support, security, compliance and observability across DGX Cloud
  5. Establishing metrics and key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs.

Skills

Required

  • 10+ years of technical program management experience
  • driving the planning and execution of large-scale engineering programs
  • strong focus on software engineering projects within a matrixed organization
  • Extensive hands-on experience in cloud infrastructure
  • Expert-level proficiency with Jira, Smartsheet, or similar program management tools
  • guide engineering teams on their effective use and execution within an Agile/Scrum framework
  • strategic and tactical thinking abilities
  • build consensus and drive program success
  • thriving within ambiguous environments
  • communication and technical presentation skills, particularly for executive audiences
  • BS or MS in Electrical Engineering or Computer Science, or equivalent experience

Nice to have

  • working at a major Cloud Service Provider (CSP)
  • NVIDIA GPU products, including deployment and bring-up
  • Kubernetes, API integration, Terraform, etc
  • productivity tools and process automation
  • cloud-native product / services environments
  • AI, ML infrastructure, and cloud/services

What the JD emphasized

  • extensive experience in cloud infrastructure
  • AI/ML