Senior Solution Architect, AI Infrastructure

Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.

Become the primary technical driver for customers during the build, deployment, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle.

Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.

Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.

Analyze and debug compute/network configuration and performance issues to deliver performant clusters.

Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Lead communication with customers and NVIDIA Management.

Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

The position requires solving complex multidisciplinary problems. Responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions with the customer.

BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.

6+ years supporting Solution Engineering (or similar Sales Engineering, Solution Architecture) including experience working directly with partners and customers.

Experience with high performance Networking or CPU/GPU application acceleration.

Background with schedulers such as SLURM, LSF, UGE, etc.

Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

An ability to travel to customer sites up to 20% of the time.

Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions.

Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance.

Experience with MPI (Message Passing Interface).

Experience working with enterprise developers and strong customer-facing skills.

Active Security Clearance is highly desirable.

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, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you!

You will also be eligible for equity and benefits .

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.