Senior Linux Systems Engineer - EDA Infrastructure
NVIDIAJob Title
Senior Linux Systems Engineer - EDA Infrastructure
Role Summary
Join the Infrastructure Engineering team to design, deploy, and maintain enterprise-grade, RPM-based Linux environments that support high-performance EDA compute farms. Deliver automation, tooling, and operational improvements to ensure a highly available, scalable infrastructure for EDA workloads.
Experience Level
Senior — typically 8+ years of systems engineering experience as indicated in the posting.
Responsibilities
Primary responsibilities include operating and improving Linux infrastructure, automation, and tooling for high-throughput EDA environments.
- Maintain, tune, secure, and operate mission-critical Linux systems across production and non-production environments.
- Design and lead infrastructure-as-code workflows and continuous deployment using tools such as Ansible and Terraform.
- Develop and maintain automation and operational tooling using Python, Bash, or Go.
- Manage naming services (LDAP/SSSD) and networked storage (NFS, Autofs) to support high-performance workloads.
- Drive availability, scalability, and telemetry integration for EDA compute farms.
Requirements
Must-have technical skills and experience; concise list of preferred extras follows.
- 8+ years of deep systems engineering experience with RPM-based Linux distributions.
- Proven experience automating multi-tier infrastructure and managing centralized deployments (Infrastructure as Code).
- Strong understanding of virtualization and container internals (Docker, Podman, Kubernetes, MicroVMs) and ability to design scalable container infrastructure.
- Proficiency in scripting and tooling (Python, Bash, or Go) for automation and API integration.
- Operational networking skills: OSI layers, TCP socket behavior, MTU optimization, packet capture analysis (tcpdump/wireshark), and familiarity with physical or software-defined networking.
- Nice to have: CI/CD pipeline experience for infrastructure artifacts (GitLab CI, GitHub Actions, Jenkins), cloud compute experience (GCP, AWS), experience applying LLMs to infrastructure, and prior exposure to EDA toolchains or HPC schedulers (LSF, Slurm).
Education Requirements
Bachelor's degree or equivalent practical work experience. The posting explicitly mentions "Bachelor's degree or equivalent work experience." Relevant industry certifications were listed as differentiators (examples: RHCE, CKA).
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
