Nvidia Solutions Architect DGX Cloud 

United States, Texas 

88924166

What you’ll be doing:

Work closely with DGX Cloud Partners, become their trusted technical advisor, advocate for their needs, and ensure they are successful in accomplishing their business goals with the platform.

• Accelerate NVIDIA Cloud Partner onboarding time, cluster manageability and reliability.

• Scale knowledge, reach, and opportunities by building and educating vertical teams and communities on DGX Cloud and NVIDIA Reference Architectures.

• Communicate to our Reference Architecture teams findings gathered from the field.

• Provide technical education and facilitate field product feedback to improve DGX Cloud.

• Enable partners to participate in the DGX Cloud Ecosystem with the goal of end-user satisfaction and increased sales.

What we need to see:

• Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science (or equivalent experience)

• 5+ years of proven experience with one or more Cloud Service Providers (AWS, Azure, GCP or OCI), NVIDIA Cloud Partners (CoreWeave, Lambda Labs, Crusoe, etc) and cloud-native architectures and software.

• Demonstrated experience in technical leadership, strong understanding of NVIDIA technologies, and success in working with customers.

• Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, RoCE, and Gig-E).

• Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.

• Proficient in deploying GPU applications in Slurm, Kubernetes, docker, helm, registries

• Linux-based configuration management and monitoring solutions, system administration, OS installation, configuration, and troubleshooting

• Networking technologies (e.g. router, firewall, load balancer, DNS, VPN) for complex infrastructure configuration

Ways to stand out from the crowd:

• Experience using DGX Cloud, NVIDIA AI Enterprise AI Software including Base Command Manager, NeMo, and NVIDIA's Inference Microservices.

• Experience with AI application development and deployment

• Background with deploying and configuring observability tooling including Grafana, Prometheus, W&B, Nagios, Zabbix

• Experience with high performance or large-scale computing environments.