Solutions Architect, Hyperscale

Details

Do you want to be part of a team that brings Artificial Intelligence (AI) solutions to NVIDIA’s largest customers? NVIDIA is looking for an experienced Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA’s most strategic customers with both hardware and software solutions while offering recommendations to business and engineering teams based on product strategy.

Responsibilities

• Working with 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 complex infrastructure as well as help them understand performance characteristics for the best solution.
• 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.
• Prepare and deliver technical content to customers including presentations, workshops, etc.
• Analyze and develop solutions for customer performance issues for both AI and systems performance.

Requirements

• 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.
• 3+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
• Experience building performance benchmarks for systems including GPU and multi-node systems.
• Practical knowledge in building AI and HPC applications.
• Understanding of systems architecture including PCIe topologies, networking, etc. as it relates to performance of an overall application.
• 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 Deep Learning and/or AI.
• Background with NVIDIA hardware and software.
• 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.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!