Nvidia Vice President Solutions Architecture 

United States, Texas 

970391787

You will be working cross functionally with our organizations, as well as ensuring a positive experience for external customers and partners. You should be comfortable working in a dynamic environment experiencing rapid growth, and have experience with NVIDIA Deep Learning software and systems. You will use your leadership skills and ecosystem contacts to recruit and hire new solution architects with software development skills to introduce automation, build robust artificial intelligence systems, and put together custom solutions quickly for short-term requirements. Your ability to work independently is important, and you will rely upon your excellent communication skills during consulting engagements. We expect you to work closely with the entire customer team, including sales and program management, as well as applications engineering. This position can be based at our Santa Clara headquarters or remote in a major US city.

What you'll be doing:

• Recruit and hire solution architects and data scientists to support our rapidly growing enterprise professional services business.

• Primary point of AI services for our hardware and software products provided to cloud, enterprise, and government customers

• Shepherd critical customer issues and provide timely advance warning of critical issues that need attention.

• Develop the team of solution architects that provides deep architectural AI services engagement on all NVIDIA solutions, directly supporting WW sales and business management, and working closely with the team to secure design wins.

• Establish close personal technical ties to the customer account at CTO and CxO level, establishing personal relationships to facilitate rapid resolution of issues and promote the highest levels of customer satisfaction.

What we need to see:

• 20+ overall years of experience in a AI industry in a technical role

• 10+ years of management experience

• Experience building and deploying AI models into production.

• PhD in EE, CS, Math, or Physics or equivalent experience

• In-depth knowledge of computer systems architecture

Ways to stand out from the crowd:

• AI and data analytics development experience

• Clouddevelopment/deploymentexperience

• In-depth software development or data science experience

• MBA degree