Senior Linux Systems Engineer – EDA Infrastructure
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is 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.
Key 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, e.g. Ansible and Terraform.
- Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry.
- Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads.
Qualifications
- 8+ years of deep systems engineering experience working with RPM-based Linux distributions.
- Bachelor's degree or equivalent 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 and scalable container infrastructure design.
- 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, 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 such as RHCE or 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., LSF and Slurm environments).
Benefits
- Highly competitive salaries with base salary ranges of 184,000 USD – 287,500 USD for Level 4 and 224,000 USD – 356,500 USD for Level 5.
- Comprehensive benefits package.
- Equity eligibility.
Job details
- Applications accepted until at least November 15, 2026.
- This posting is for an existing vacancy.
About the company
NVIDIA is widely considered to be one of the technology world's most desirable employers, offering competitive compensation and comprehensive benefits.
We employ forward-thinking and talented individuals and are experiencing outstanding growth across our world-class engineering teams.
We are looking for creative and autonomous engineers with a real passion for technology.
Additional information
- Your base salary will be determined based on your location, experience, and other objective job-related factors.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
