Remote Position
[Remote] Senior Customer Success Engineer - DGX Cloud
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. NVIDIA is hiring a Senior Customer Success Engineer for DGX Cloud to connect customer needs with cloud infrastructure engineering. The role partners with internal research and product teams, provides architectural guidance, builds code and tools, and helps shape GPU capacity management and infrastructure strategy.
Responsibilities
- Design and implement distributed cloud infrastructure at scale — spanning compute, storage, networking, and GPU capacity management across IaaS, PaaS, and SaaS models zendesk
- 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
Skills
- 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
Benefits
- Eligible for equity
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