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About The Position

NVIDIA Metropolis offers GPU-accelerated libs/SDKs, Microservices, Tools and Blueprints that help developers build, deploy and scale AI-enabled applications – from the edge to the cloud. This suite of software offerings provides a variety of starting points to accelerate and optimize any aspect of AI application development and deployment. We are looking for a passionate Technical Program Manager to be part of this journey. This role will be leading all steps of the development lifecycle: from concept to model training, engineering for optimized inference and deployment.

Requirements

  • Bachelors in Electrical Engineering or Computer Science or equivalent experience
  • 8+ years of end-to-end Program Management experience in a similar or related role
  • Excellent verbal, written, interpersonal and presentation skills
  • Proficient in Agile project management methodologies
  • Experience with Jira to the point that you can comfortably guide an engineering team on how to use these tools and implement in an agile/scrum manner
  • Proven track record of being well organized, detail oriented, have excellent listening skills, in an environment with shifting priorities and changing requirements
  • Ability to think long-term and build consensus to make programs successful
  • Outstanding skills in prioritizing and building alignment

Nice To Haves

  • Prior Program Management experience with Vision AI or AI application development including Data Acquisition and Labeling to Model Training, Optimization, and Edge Deployment
  • Strong understanding of Embedded Systems (familiarity with Nvidia GPUs is a plus)
  • Deep understanding of Software Product Life Cycle to develop production grade AI applications
  • AI adoption in Program Management to optimize workflows and increase team velocity
  • Experience managing the unique challenges of AI programs, such as, Model accuracy KPIs, and "human-in-the-loop" validation processes

Responsibilities

  • Closely work with engineering and product management to deliver and drive strategic roadmap execution
  • Collaborate with engineering on sprint planning, stand ups, sprint review and retrospective
  • Use Jira dashboard and bug database queries to help with various reporting, and Confluence to provide comprehensive program updates to the core and leadership teams
  • Work closely with the engineering on various KPIs to improve overall execution process and deliverable
  • Integral member of Vision AI development and productization workflow

Benefits

  • equity
  • benefits

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