Nvidia Senior CPU Implementation Methodology Engineer 

United States, Texas 

60205916

Many of the Top 500 Supercomputers are powered by DGX SuperPODs. You will be joining NVIDIA AI Data Center Solutions team within World-Wide Field Organization, DGX segment sales team in modernizing AI Data Centers. The mission is to enable seamless AI factories globally. As a business leader, you will need to formulate scalable and sustainable strategy by bring out the best-in-class AI solutions. You will need to activate and cultivate key power and energy partners in advancing high performant and energy efficient solutions.

What you'll be doing:

• Driving co-design of end-to-end power and energy solutions to solve sophisticated Generative AI large scale production deployment challenges

• Leading with multi-functional teams including engineering, solution architecture, product planning, marketing and PR teams in activating data center power and energy partners ecosystem

• Evangelizing AI solutions by formulating global go-to-market business strategies and facilitating demand generation partner campaigns

• Enabling power solutions across NVIDIA AI factories power generation, power transition, power shaping, energy storage

What we need to see:

• Bachelor of Science in Electrical Engineering, Computer Engineering, or equivalent experience in influencing power and energy industry solutions

• 15+ years of strong account management experience in dealing with customers or partners including C-levels

• 5+ years of leadership skills

• Strong business development skills in cultivating multi-party partnerships in a global setting

• Deep expertise in facilitating technical discussions including Omniverse and Advanced Cluster Software Management with engineering in achieving the best solutions

Ways to Stand Out From The Crowd:

• Prior experience in energy sourcing and data center infrastructure business development

• Experience in data science and/or AI production deployments

• An understanding of data center infrastructure, data center interface management, and architectures