Nvidia Solution Architect DGX Cloud 

Japan, Tokyo 

204601374

What you’ll be doing:

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

• Accelerate customer onboarding and time to insights with DGX Cloud

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

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

• Enable successful first-time integration and deployment of NVAIE Emerging SW products with DGX Cloud

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 similar (or equivalent experience)

• 5+ years of proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software

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

• Expertise with container orchestration platforms such as Kubernetes, Docker Swarm, or OpenShift

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

• Experience with high performance or large scale computing environments

• Excellent verbal, written communication, and technical presentation skills in Japanese and business level English communication

Ways to stand out from the crowd:

• Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices, Run:ai

• Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture

• Contributions to technical forums, publications, or presentations at industry conferences (e.g., SC, KubeCon, or GTC)