✦ Luna Orbit — Cloud & Infrastructure

Senior Infrastructure and Build Systems Engineer

at Nvidia

📍 2 Locations Hybrid Posted March 22, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Masters degree or equivalent experience
Category Cloud & Infrastructure

This role involves managing infrastructure and build systems for NVIDIA's AI TensorRT-LLM team, focusing on automation, security, and deployment pipelines across cloud platforms.

  • Build and maintain infrastructure
  • Manage CI/CD pipelines
  • Implement security scans
  • Improve build system modularity
  • Collaborate on deployment workflows

Infrastructure automation, cloud platforms (AWS, Azure, GCP), Kubernetes, Docker, CMake, DevOps practices, security, open-source contributions

The ideal candidate is a mid-level infrastructure engineer with over 3 years of experience in cloud platforms, automation, and DevOps practices, capable of managing complex build systems and infrastructure automation.

3+ years experience in computer science or related fieldBash scriptingPython programmingCMakeExperience with cloud platforms (AWSAzureGCP)Kubernetes and Docker
Open-source contributionDevOps strategy leadershipAutomation improvementsTest automation infrastructureDeep learning frameworks
GitHubGitlabTerraformKubernetesDockerAnsibleAWSAzureGCP
BashPythonCMakeTerraformKubernetesDockerGitHubGitlabAnsibleAWSAzureGCP
BashPythonCMakeTerraformKubernetesDockerGitHubGitlabAnsibleAWSAzureGCP
collaborationautonomyproblem solvingcommunicationagile mindset
Industry Technology / AI / Deep Learning
Job Function Design and manage infrastructure and build systems for AI deployment
Role Subtype Cloud & Infrastructure
Tech Domains Amazon Web Services, Microsoft 365, Terraform, Kubernetes, Docker, Ansible, GCP, Azure, Linux, Python
cloud engineerinfrastructureDevOpsCI/CDTerraformKubernetesDockerAnsibleAWSAzureGCPbuild systemsautomationdeep learningAIsecurityinfrastructure as codeopen-sourcetest automationcloud platforms

Less than 3 years experience, Lack of experience with cloud platforms (AWS, Azure, GCP), No knowledge of Kubernetes or Docker

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