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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 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.
Proficient in deploying GPU applications in Slurm and Kubernetes.
Experience with high performance or large scale computing environments.
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.
Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture.
You will also be eligible for equity and .
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