Drimva

NVIDIA

Senior Customer Program Manager – AI Platform

$200K–$322K

US, CA, Santa Clara · Manager · Full-time · Posted Jul 30, 2026

Experience
12+ years of program/project management experience in Cloud providers, Automotive, Robotics or Physical AI industries.
Education
Bachelor’s or master’s degree in computer science, Engineering, or a related field, or equivalent experience.

About the job

Leads technical and operational programs for key customers and partners, coordinating cross-functional teams to integrate AI model technology stacks from evaluation through production deployment.

What you'll do

  • Manage program schedules, deliverables, risks, and issue resolution across internal teams and customer partners.
  • Serve as the primary customer interface throughout design, qualification, deployment, and post-deployment support.
  • Plan and execute integration of complex AI model technology stacks in customer environments, from proof of concept to production launch.

What they ask for

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field, or equivalent experience.
  • Strong technical background in hardware and/or software product development, working closely with cloud and AI solution providers.
  • Experience driving AI Systems Orchestration, including scaling large generative architectures and managing compute resources, infrastructure bottlenecks, and model release timelines.
  • Track record leading complex global programs through development lifecycles into deployment and production.

Nice to have

  • Experience with Synthetic data generation pipelines and/or World Foundation Models.
  • Experience managing data Lifecycle Management, including data curation, automated quality metrics, and legal, privacy, and bias risks.

Pay

200,000 USD - 322,000 USD base salary

Tools

AI Systems Orchestration, Synthetic data generation pipelines, World Foundation Models

AI focus

Integrates complex AI model technology stacks in customer environments and drives orchestration of large generative architectures and compute resources.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)