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NVIDIA

Senior Linux Systems Engineer – EDA Infrastructure

NVIDIA

Senior Linux Systems Engineer designing and automating Linux infrastructure for NVIDIA’s high-performance EDA compute farms. Building scalable container, storage, networking, and deployment tooling.

Posted 9/2/2026full-timeRemote • California, Massachusetts, North Carolina, Texas, Washington • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in maintaining and securing Linux operating systems, with a strong focus on automation and infrastructure management using tools like Ansible and Terraform. Proficient in designing scalable container infrastructure and managing cloud services across GCP and AWS.

Highest-signal resume keywords
Linux Systems EngineeringInfrastructure as CodeContainerization (Docker, Kubernetes)Automation (Python, Bash, Go)Cloud Services Management (GCP, AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Linux Operating SystemsAnsibleTerraformPythonBashGoDockerKubernetesTCP/IP NetworkingCI/CD Pipelines
Tools & Technologies
GitLab CIGitHub ActionsJenkinsWiresharkTcpdump
Certifications & Qualifications
RHCECKA
Industry Keywords
EDA ToolchainsHigh-Performance Compute ClustersRPM-Based DistributionsVirtualizationContainer Internals

Tech Stack

Tools & technologies
AnsibleAWSDockerGoGoogle Cloud PlatformJenkinsKubernetesLinuxNFSPythonTerraform

About the role

Key responsibilities & impact
  • Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments
  • Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, including Ansible and Terraform
  • Write high-quality, maintainable Python, Bash, or Go code to automate repetitive operational tasks and integrate infrastructure telemetry
  • Manage Linux Naming Services, including LDAP/SSSD, and networked storage environments, including NFS and Autofs
  • Design, deploy, and maintain enterprise-grade Linux environments across RPM-based distributions
  • Drive automation initiatives and build robust tooling for highly available and scalable EDA compute-farm infrastructure

Requirements

What you’ll need
  • 8+ years of deep systems engineering experience working with RPM-based Linux distributions
  • Bachelor's degree or equivalent work experience
  • Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments
  • Deep understanding of virtualization and container internals, including Docker, Podman, Kubernetes, and MicroVMs
  • Ability to design and build scalable container infrastructure from scratch, including registry management, custom image development, and layer optimization
  • Proficiency in at least one modern language: Python, Bash, or Go
  • Deep operational understanding of OSI layers, TCP socket states, MTU optimization, packet captures, tcpdump, Wireshark, and modern physical or software-defined networking (SDN)
  • Experience with more than one configuration management system is a bonus
  • Experience with CI/CD integration pipelines such as GitLab CI, GitHub Actions, or Jenkins is advantageous
  • Relevant industry certifications such as RHCE or CKA are advantageous
  • Proven experience managing GCP and AWS compute services
  • Experience using LLMs to build and manage infrastructure is advantageous
  • Prior experience supporting EDA toolchains such as Synopsys or Cadence and high-performance compute clusters; exposure to LSF and Slurm environments is a bonus

Benefits

Comp & perks
  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity