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Senior Customer Success Engineer - DGX Cloud

NVIDIA· Engineer, SW
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Hybrid (Remote / US)$200k - $322kFull-timePosted 2mo ago

About the role

Role bridging customer success and cloud infrastructure engineering to guide AI workloads for NVIDIA's DGX Cloud, including architectural guidance, tooling, and capacity management across compute, storage, networking, and GPU resources.

Responsibilities

  • Design and implement distributed cloud infrastructure at scale — spanning compute, storage, networking, and GPU capacity management across IaaS, PaaS, and SaaS models
  • Partner with internal research and product teams to understand workloads from both a technology and business perspective, providing architectural guidance that drives their success
  • Contribute code directly when needed to move projects forward, and codify working patterns into tools, playbooks, and building blocks that others can reuse
  • Build and maintain agentic tooling to automate operational workflows and infrastructure resource management
  • Analyze the DGX Cloud ecosystem to understand current customer demand and future capacity needs, driving infrastructure efficiency initiatives in partnership with Engineering, Finance, and Product
  • Present technical roadmaps, architecture decisions, and demos to internal stakeholders and NVIDIA leadership, driving cross-functional consensus on infrastructure strategy

Qualifications

  • BS or MS in Computer Science, Engineering, or a related field, or equivalent experience
  • 12+ years of experience designing and building distributed systems and cloud infrastructure, with demonstrated experience in GPU capacity management for high-performance computing
  • Demonstrated ability to write production code in Golang, Java, C, C++, Python, or Rust
  • Experience with Kubernetes and/or distributed task scheduling
  • Strong background in Infrastructure, Networking, Storage, and DevOps scripting/tooling
  • Experience deploying AI/ML workloads at scale
  • Strong communication and relationship-building skills, with a demonstrated ability to drive cross-functional consensus and align stakeholders across departments

Skills

Required:Distributed systems designProduction codingKubernetesInfrastructure/Networking/StorageAI/ML deployment at scale

Benefits

  • equity
  • comprehensive benefits package (as referenced in job description)
Last updated Aug 14, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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