Senior Cloud-Native AI Data Center Engineer Kubernetes/Slurm

NVIDIA; California (MO); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineer for the CSP Engagements team to advance the cloud-native stack for datacenter products like GB200/GB300. You will define customer workflows, prototype enhancements, and debug complex Kubernetes and Slurm issues in multi-rack, multi-tenant AI datacenters.

You will collaborate across CSP and internal platform teams to drive architecture, write RFCs, and deliver demonstrations at customer sites and conferences.

Qualifications

• 10+ years of professional software development in distributed systems.
• Strong source-level Kubernetes and Slurm expertise.
• Experience with GPUs in containerized clusters.
• Customer-facing engineering or solutions-architect background.
• Familiarity with CI/CD, observability, and infrastructure-as-code.
• Excellent communication and problem-solving abilities.

Responsibilities

• Perform deep-dive debugging of multi-rack, multi-tenant clusters and scheduler behavior.
• Prototype feature extensions for Kubernetes operators and Slurm plugins.
• Lead architecture reviews and RFCs with CSP and internal teams.
• Create reproducible testbeds (Helm/Ansible/Terraform) and automate validation.
• Produce technical collateral and demo scripts for on-sites and conferences.
• Collaborate with AE, FAE, and Solution Architect teams to deliver solutions.

Skills

Kubernetes internals

Slurm integration

CI/CD

Observability

Infrastructure as Code

Go/Rust/Python tooling

GPU integration

Customer communication

Education

BS or MS in Computer Engineering/CS

Tools

Helm

Terraform

Ansible

GitHub Actions

Tekton

Prometheus/OpenTelemetry

Slurm

Job description

NVIDIA is seeking a Senior Software Engineer for the CSP Engagements team to advance the cloud-native stack for datacenter products like GB200/GB300. You will define customer workflows, prototype enhancements, and debug complex Kubernetes and Slurm issues in multi-rack, multi-tenant AI datacenters.

You will collaborate across CSP and internal platform teams to drive architecture, write RFCs, and deliver demonstrations at customer sites and conferences.