Senior Software Engineer - DGX Cloud Production Engineering
NVIDIA AI
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Benefits offered by this job
Job summary
NVIDIA AI is seeking an experienced production infrastructure engineer to build and operate automation, tooling, and operational systems for large-scale GPU clusters. You will develop services for provisioning, monitoring, and lifecycle operations, reducing manual touches through APIs and GitOps.
The role requires strong Python or Go programming, deep Linux and Kubernetes expertise, and a track record of troubleshooting distributed systems in production environments.
Qualifications
- 8+ years of experience in production infrastructure.
- Strong programming skills in Python or Go.
- Expertise in Linux, Kubernetes, and troubleshooting distributed systems in production environments.
Responsibilities
- Build and operate automation, tooling, and operational systems for large-scale GPU clusters to ensure reliability and scalability.
- Develop services for provisioning, monitoring, and lifecycle operations while reducing manual touches through APIs and GitOps.
Skills
Tools
Job description
Build and operate automation, tooling, and operational systems for large-scale GPU clusters to ensure reliability and scalability. Develop services for provisioning, monitoring, and lifecycle operations while reducing manual touches through APIs and GitOps.
Requirements: Requires 8+ years of experience in production infrastructure with strong programming skills in Python or Go. Candidates should have expertise in Linux, Kubernetes, and troubleshooting distributed systems in production environments.
Key Skills: Python, Go, Linux, Kubernetes, Containers, Cloud Infrastructure, Infrastructure Automation, Distributed Systems, GPU Infrastructure, Kubernetes Operators, GitOps, Terraform, ArgoCD, Fleet Automation, Observability, Reliability Practices
Benefits: Equity, Benefits
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