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NVIDIA

Designs the chips and software that power AI

Senior Customer Technical Program Manager - AI Datacenter

Program ManagementUpdated on Oct 31
Full-timeRemote

About the Job

Requirements

  • Demonstrated program or project management experience involving direct interaction with customers.
  • At least 8 years of experience managing programs and projects involving direct customer engagement.
  • Strong leadership skills in global, matrixed environments.
  • A bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.
  • A track record of successfully managing complex, large-scale datacenter projects.

Responsibilities

  • Lead execution and technical engagement directly with Cloud Service Providers and their original design manufacturer and original equipment manufacturer partners.
  • Integrate datacenter tools and operationalize processes for AI factory build-out, resolving blocking issues to keep projects on track.
  • Ensure reliable assembly of AI infrastructure platforms by working with customers' original design manufacturers or original equipment manufacturers to meet specified metrics and schedules.
  • Assemble and guide cross-functional teams, ensuring alignment and execution.
  • Provide technical direction on server system building in collaboration with subject matter experts, and manage project timelines by proactively resolving blockers.
  • Ensure timely delivery of customer-specific features and production deployment.
  • Communicate program status, risks, and insights to senior leadership.

Desired Qualifications

  • Strong customer-facing experience.
  • Deep experience leading technical programs for Cloud Service Providers.
  • Hands-on expertise in large-scale compute server build and deployment.
  • Experience working across globally distributed teams.

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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