Senior Linux Systems Engineer - EDA Infrastructure

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.

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).

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)

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to outstanding growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.