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Nvidia Senior Product Manager – Datacenter GPU 
China, Beijing, Beijing 
267904476

24.06.2024
What you'll be doing:
  • Lead one of the Data Center GPU product lines through the complete life cycle from idea to development to go-to-market

  • Define use cases, server architecture, data center architecture, NVIDIA software stack and the total solution value proposition

  • Drive complete solution optimized for variety of data center deployments

  • Envision the next generation of Cloud, Enterprise and Edge AI by designing product hardware, software and system requirements

  • Work with partners and lead customers to ensure product success

  • Bring together requirements for next-generation products including competitive analysis and customer feedback

  • Position our solutions to a variety of audience-ranging from the technically savvy to the novice

  • Lead multi-functional teams across engineering, operations, sales and marketing

  • Develop and review customer-ready collateral based on engineering or technical documents e.g. Whitepapers, Product Specifications, etc.

What we need to see:
  • Bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering or related Engineering field.

  • 12+ years of relevant work experience.

  • Ideal candidates will have validated experience working as a technical product manager or solution architect for a product with cloud and enterprise data centers as end-users

  • Experience taking a product through a full life cycle: from inception, to launch, to customer management

  • Strong analytical, marketing and project management skills - a drive for results and a history of successful execution on projects

  • Phenomenal balance of deep technical and business knowledge

  • Self-starter, hands-on demeanor in a dynamic environment

  • Excellent communication and presentation abilities

  • Passion for and solid understanding of building innovative

Ways to stand out from the crowd:
  • Strong enterprise and cloud data center platform expertise

  • Expertise in AI and ML hardware and software

  • Familiarity with GPU architectures