Senior Linux Systems Engineer - EDA Infrastructure

NVIDIA•Santa Clara, CA

2d•$184,000 - $356,500

About The Position

NVIDIA is seeking a Linux Systems Engineer for its Infrastructure Engineering team, supporting high-performance EDA compute farms. The role designs, deploys, and maintains enterprise-grade Linux environments across RPM-based distributions, optimized for EDA workloads. It drives automation initiatives and develops tooling to support highly available, scalable infrastructure.

Requirements

At least 8 years of deep systems engineering experience with RPM-based Linux distributions.
Bachelor's degree or equivalent experience.
Strong track record 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, and the trade-offs among 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, Rust, or Go—for infrastructure automation, tooling development, and API integrations.
Deep operational understanding of OSI layers, TCP socket states, MTU optimization, packet captures using tcpdump or Wireshark, and modern physical or software-defined networking.

Nice To Haves

Experience with more than one configuration management system.
Experience with CI/CD integration pipelines such as GitLab CI, GitHub Actions, or Jenkins for infrastructure artifacts.
Relevant industry certifications, such as RHCE or CKA.
Proven experience managing GCP and AWS compute services.
Experience using LLMs to build and manage infrastructure.
Prior experience supporting EDA toolchains such as Synopsys or Cadence and high-performance compute clusters; exposure to LSF and Slurm environments is a bonus.

Responsibilities

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 tools such as Ansible and Terraform.
Develop high-quality, maintainable code in Python, Bash, or Go to automate operational tasks and integrate infrastructure telemetry.
Manage Linux naming services, including LDAP and SSSD, and networked storage environments, including NFS and Autofs, for high-performance EDA workloads.