Solutions Architect, Cloud Providers and Hyperscale

NVIDIA is looking for an experienced Solutions Architect to assist customers building infrastructure for AI and HPC. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a Solutions Architect to join the NVIDIA team focused on supporting accelerated infrastructure for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers as well as offering recommendations to business and engineering teams based on product strategy.

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

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!

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