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Nvidia Software Business Development Lead NCP CSP 
United Kingdom, England, Southampton 
864292867

24.06.2024

What you’ll be doing:

  • Working with Cloud Service Providers such as Azure, AWS, GCP and others to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

  • Lead customer engagements and business development activity.

  • Develop excellent strategic relationships with customers' R&D teams to understand customers' software and accelerated computing needs with a focus on DL/ML.

  • Partner and collaborate with technical teams on GPU application acceleration.

  • Work with CSP’s and key GSI partners to build alliances and expand software platform opportunities.

  • Manage operations forecast and supply. Strive for operational excellence with process, logistics and reverse logistics optimizations. Drive pricing discussion and long-term contract.

  • Being the link between the product team and the customer (roadmap updates, tech communications…).

  • Define and drive the discussions, strategy enabling our key partners to drive NVIDIA platform accelerated solutions. Delivering a concise state of the business at any given time.

What we need to see:

  • Bachelor’s degree or higher in related field (or equivalent experience) plus 12+ years of technical sales, business development or product management in software related field.

  • A proven understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning.

  • Ideally have existing relationships with key CSP’s such as Azure, AWS, GCP and Global Solution Integrators (GSI)

  • Sales experience within the GenAI/ML space and understands how to simply articulate sophisticated GenAI technologies.

  • A real passion for getting things done in a complex sales and technology environment and a demonstrated track record leading significant revenue and overachieving targets to meet stretch goals.

  • Ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally. Excellent communication skills.

Ways to stand out from the crowd:

  • Strong Background in modern Data Center technology and Deep learning, Machine learning. Experience engaging with large Hyperscalers.

  • Experience with deep learning, data science, and NVIDIA GPUs.

  • Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.

  • Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

  • Ideally have existing relationships with key CSP’s such as Azure, AWS, GCP and Global Solution Integrators (GSI)