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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)
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