NVIDIA

Senior Customer Program Manager, AI Datacenter

NVIDIA

full-time

Posted on:

Origin:  • 🇮🇱 Israel

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Execute the program plan: identify and assemble the core team, formally kick off the project with customers, and develop a joint project timeline
  • Support design-in effort by providing technical collateral and leading engineering design reviews
  • Ensure implementation of any customer-required features and drive resolution of all blocking issues
  • Ensure timely customer acceptance and production deployment
  • Coordinate and lead technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and AI workloads
  • Align multifaceted global cross-functional teams (software & hardware engineering, manufacturing operations, product quality, supplier procurement, account executives) to keep product changes to production on-track
  • Regularly report program status to customer and executive management
  • Identify interpersonal learning opportunities for continuous improvements
  • Develop a close working relationship with customer development teams and use creativity to find solutions to their issues
  • Lead internal and external technical & operational program execution with major cloud service providers and enterprise customers

Requirements

  • B.Sc./M.Sc. in Electrical Engineering or Computer Science or equivalent experience
  • 8+ years in Information Technology industry with a focus on program management
  • Proven customer and technical savvy born of implementing sophisticated programs deploying servers in data-centers
  • Supreme leadership skills across broad and diverse cross-functional teams
  • Strong analytical and problem-solving skills
  • Experience leading global projects
  • Travel <5%
  • Extensive experience in leading programs with external customers on deploying computing servers at large data-centers with high-reaching goals and timelines
  • Consistent track record of working cross-functionally with multiple partners distributed across the globe
  • Understanding and knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure including GPU computing and networking architecture
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