Senior Software Engineer, Linux Platform

NVIDIA is hiring a Senior Software Engineer to drive the automation, design, and operation of Linux platforms supporting physical systems, virtual machines, public cloud infrastructure, and AI agent compute. The role focuses on improving platform scalability, reliability, and security while building automated infrastructure and collaborating with engineering teams.

Responsibilities:

• Leading Linux and cloud infrastructure initiatives, including architecture, provisioning, configuration, deployment, and ongoing operations
• Building automation using shell scripting, configuration management, and infrastructure-as-code tools
• Developing and maintaining automated workflows for Linux provisioning, patching, configuration, security hardening, and lifecycle management
• Deploying and operating cloud infrastructure and integrating cloud services with on-premises environments
• Collaborating with engineering teams across NVIDIA to deliver infrastructure capabilities that support meaningful business outcomes
• Continuously improving the reliability, security, maintainability, and operational standards of our platform

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field—or equivalent experience
• 8+ years of experience in Linux systems, infrastructure, platform, site reliability, or cloud engineering
• Deep hands-on experience administering, securing, and optimizing Linux environments
• Proven cloud architecture and engineering experience in AWS or Azure
• Strong shell scripting and automation skills, including a configuration management platform such as Chef or Ansible
• Experience using Terraform to provision infrastructure
• Experience with AI-native development and coding agents to multiply developer productivity
• Strong communication skills and a collaborative, team-oriented approach
• Expertise in Go or Python
• Experience using GitLab CI/CD or GitHub Actions to automate deployments
• Experience designing and operating hybrid-cloud or multi-cloud Linux environments
• Experience with container runtimes, Kubernetes, immutable infrastructure, or automated operating-system image pipelines