Senior Software Engineer, DGX Cloud Production Engineering

This is a fully remote position, open to applicants in California.

📋 Description

• Design and manage automation for extensive GPU clusters within NVIDIA Cloud Partners and on-premises settings.

• Create tools and services for provisioning, validation, upgrades, monitoring, repairs, and managing cluster lifecycle operations.

• Enhance workflows for Day 0, Day 1, and Day 2 processes related to cluster setup, handoff, and operational production.

• Minimize manual interventions in production through APIs, GitOps, automation, and agent-assisted processes.

• Engage in on-call duties, incident response, debugging, and thorough follow-up tasks.

• Collaborate with platform, storage, networking, security, and workload teams to ensure infrastructure is ready for production.

⛳️ Requirements

• A minimum of 8 years of experience in building or managing production infrastructure.

• Proficient programming skills in Python, Go, or a related language.

• Familiarity with Linux, Kubernetes, containers, cloud infrastructure, or automation of infrastructure.

• Capability to troubleshoot distributed systems in a production environment.

• Excellent communication skills and ability to collaborate effectively across teams.

• A BS/MS degree in Computer Science or equivalent professional experience.

• Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.

• Knowledge of SLOs, on-call responsibilities, incident response, observability, and reliability practices.

• Background in BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure.

🏝️ Benefits

• Equity

• Benefits