NVIDIA
Senior Customer Success Engineer - DGX Cloud
$200K–$322K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Aug 10, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 12+ years.
- Education
- BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
About the job
Designs and builds DGX Cloud infrastructure and tooling while advising internal research and product teams on AI workload architecture, capacity, and operational efficiency.
What you'll do
- Design and implement distributed cloud infrastructure, including GPU capacity management.
- Provide architectural guidance, code, and reusable tools for internal teams; build agentic automation for operations and resource management.
- Analyze infrastructure demand and capacity, drive efficiency initiatives, and present technical roadmaps to stakeholders.
What they ask for
- BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
- 12+ years designing and building distributed systems and cloud infrastructure, including demonstrated GPU capacity management experience for high-performance computing.
- Production coding experience in Golang, Java, C, C++, Python, or Rust.
- Experience with Kubernetes and/or distributed task scheduling; strong Infrastructure, Networking, Storage, and DevOps scripting/tooling background; experience deploying AI/ML workloads at scale.
Pay
200,000 USD - 322,000 USD (base salary)
Tools
Golang, Java, C, C++, Python, Rust, Kubernetes
AI focus
Builds agentic tooling to automate operational workflows and infrastructure resource management; supports development and large-scale deployment of AI/ML workloads.
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