Nvidia Solutions Architect Cloud Providers Hyperscale 

United States, Texas 

491164466

What you’ll be doing:

• Working with Cloud Providers and Hyperscalers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

• Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

• Be the go-to technical resource for customers building cloud infrastructure.

• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

• Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.

• Help develop overall plans and blueprints for customers developing their own cloud infrastructure

• Prepare and deliver technical content to customers including presentations, workshops, etc.

• Analyze and develop solutions for customer networking performance issues.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• Motivation and skills to help drive technical pre-sales activities.

• 5+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

• Experience building and/or deploying large-scale cluster environments.

• Practical knowledge in building data center scale systems for AI and HPC

• Effective time management and capable of balancing multiple tasks.

• Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

• External customer facing skill-set and background.

• Hands-on experience with NVIDIA networking hardware, both Ethernet and Infiniband, NICs/HCAs and switches, and networking software stacks.

• Hands on experience with GPU systems in general including but not limited to performance testing, AI benchmarking, etc.

• Able to think creatively to debug and solve problems.

• Large-scale GPU infrastructure deployments with TCP and/or RDMA including cloud infrastructure deployments