Senior Linux Systems Engineer - EDA Infrastructure

NVIDIA•Durham, NC

1d•$184,000 - $356,500

About The Position

We are seeking a 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. You will drive automation initiatives, and build robust tooling to support a highly available and scalable infrastructure.

Requirements

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 (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.
Proficiency in at least one modern language (Python, Bash, or Go) for infrastructure automation, tooling development, and API integrations.
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 Haves

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)

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.