Nvidia Software Business Development Lead NCP CSP 

France, Auvergne-Rhône-Alpes 

267745694

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)