Senior Linux Systems Engineer – EDA Infrastructure

🕒 September 2

🏄 California, North Carolina, +3 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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, including Ansible and Terraform • Write high-quality, maintainable Python, Bash, or Go code to automate repetitive operational tasks and integrate infrastructure telemetry • Manage Linux Naming Services, including LDAP/SSSD, and networked storage environments, including NFS and Autofs • Design, deploy, and maintain enterprise-grade Linux environments across RPM-based distributions • Drive automation initiatives and build robust tooling for highly available and scalable EDA compute-farm infrastructure

🎯 Requirements

• 8+ years of deep systems engineering experience working with RPM-based Linux distributions • Bachelor's degree or equivalent work experience • Strong track record of 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 • 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, Bash, or Go • 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 more than one configuration management system is a bonus • Experience with CI/CD integration pipelines such as GitLab CI, GitHub Actions, or Jenkins is advantageous • Relevant industry certifications such as RHCE or CKA are advantageous • Proven experience managing GCP and AWS compute services • Experience using LLMs to build and manage infrastructure is advantageous • Prior experience supporting EDA toolchains such as Synopsys or Cadence and high-performance compute clusters; exposure to LSF and Slurm environments is a bonus

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package • Equity