Senior Linux Systems Engineer - EDA Infrastructure

NVIDIA; United States; Remote; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Linux Systems Engineer to design, deploy, and maintain enterprise-grade Linux environments across RPM-based distributions for high-throughput EDA compute farms.

You will drive automation with IaC, implement end-to-end CD pipelines, and build robust tooling in Python/Bash/Go to support scalable infrastructure and telemetry.

Qualifications

• Bachelor's degree or equivalent work experience.
• 8+ years of deep Linux systems engineering with RPM-based distributions.
• Experience automating multi-tier infrastructure with IaC and CM systems.
• Strong knowledge of virtualization and container internals (Docker/Podman/Kubernetes).
• Proficiency in Python, Bash, or Go for automation.
• Solid networking fundamentals and packet analysis.

Responsibilities

• Maintain, tune, and secure mission-critical Linux operating systems.
• Lead configuration management and CD workflows using Infrastructure as Code.
• Develop tooling in Python/Bash/Go to automate tasks and telemetry.
• Manage LDAP/SSSD and NFS/Autofs to support high-performance workloads.

Skills

Linux Internals

Infrastructure as Code

Virtualization

Container Architecture

Scripting & Tooling

Networking Fundamentals

CI/CD integration

GCP/AWS compute

LLM tooling for infra

Education

Bachelor's degree or equivalent

Tools

Docker

Podman

Kubernetes

Terraform

Ansible

Job description

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.

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.

Qualifications

• 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).

Desired Skills

• 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 is 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 17, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.