# Senior Linux Systems Engineer - EDA Infrastructure

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Linux-Systems-Engineer---EDA-Infrastructure_JR2025019?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6d541c2d-a39

## Description

We are seeking a Senior Linux Systems Engineer to join our Infrastructure Engineering team, dedicated to supporting high-performance EDA compute farms.

You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads.

## Responsibilities

- Linux Infrastructure Engineering: Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments.

- End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g., Ansible and Terraform.

- Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry.

- Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads.

## Requirements

- Linux Internals: 8+ years of deep systems engineering experience working with RPM-based Linux distributions. Bachelor's degree or equivalent work experience.

- Infrastructure as Code: Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus.

- Virtualization and Container Architecture: Deep understanding of virtualization and container internals (e.g., Docker, Podman, Kubernetes, MicroVMs), including trade-offs between technologies. Demonstrated ability to design and build scalable container infrastructure from scratch, including registry management, custom image development, and layer optimization.

- Scripting & Tooling: Proficiency in at least one modern language (Python, Bash, or Go) for infrastructure automation, tooling development, and API integrations.

- Networking Fundamentals: Deep operational understanding of OSI layers, TCP socket states, MTU optimization, packet captures (tcpdump, wireshark), and modern physical or software-defined networking (SDN).

## Nice to Have

- Experience with CI/CD integration pipelines (GitLab CI, GitHub Actions, or Jenkins) for infrastructure artifacts. Relevant industry certifications (e.g., RHCE, CKA).

- Proven experience managing GCP and AWS compute services. Experience with using LLMs to build and manage infrastructure.

- Prior experience supporting EDA toolchains (e.g., Synopsys, Cadence) and high-performance compute clusters (e.g., exposure to LSF and Slurm environments a bonus).

You will also be eligible for equity and benefits.

## Skills

### Required
- Linux
- Infrastructure as Code
- Virtualization
- Container Architecture
- Scripting
- Networking Fundamentals
- Python
- Bash
- Go
- Ansible
- Terraform
- LDAP
- SSSD
- NFS
- Autofs

### Nice to have
- CI/CD integration pipelines
- GCP
- AWS
- LLMs
- EDA toolchains
- High-performance compute clusters
- LSF
- Slurm
- RHCE
- CKA

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Linux-Systems-Engineer---EDA-Infrastructure_JR2025019?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)