Senior Infrastructure and DevOps Systems Engineer

Intel Corporation•Santa Clara, CA

2d•$100,550 - $194,270•Hybrid

About The Position

Intel is seeking a senior, hands-on Infrastructure and DevOps Systems Engineer for its customer-facing engineering team. The role designs, deploys, automates, integrates, secures, and troubleshoots large-scale Linux, AI, and high-performance computing environments, contributing to next-generation compute platforms that support product development, validation, and production workloads. The engineer works across operating systems, firmware, cluster management, software distribution, infrastructure automation, containerized environments, and AI-assisted development workflows. The position focuses on building scalable and reliable infrastructure solutions that help engineering teams develop, validate, and deploy complex software and hardware platforms. The ideal candidate combines Linux administration expertise with software development, automation, and distributed-systems experience. Experience operating large-scale HPC or AI environments, managing RPM repositories and Lmod modules, and using modern AI development tools is desirable. This is an experienced-hire role eligible for Intel’s hybrid work model, splitting time between an assigned Intel site and off-site work. The position is listed for Hillsboro, Oregon, with additional locations in Phoenix, Arizona; Folsom and Santa Clara, California; and Beaver Brook, Massachusetts. The stated annual U.S. salary range is $100,550 to $194,270, with individual compensation determined by location and other factors.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field.
At least 3 years of experience administering, integrating, and troubleshooting Linux systems in enterprise or distributed computing environments.
At least 3 years of experience developing software, automation, or infrastructure solutions using Python and/or Bash.
Experience developing infrastructure automation with configuration management technologies such as Ansible.
Experience with RPM-based Linux distributions, package management, and software repositories.
Experience with CI/CD and software development workflows using Jenkins, Git, or equivalent technologies.
Strong analytical, system-debugging, and problem-solving skills.
Ability to collaborate and communicate effectively across engineering disciplines and cross-functional teams.
Strong ownership, accountability, and a continuous-learning mindset toward emerging technologies.

Nice To Haves

Experience supporting HPC, AI, GPU, or large-scale distributed compute and validation environments.
Experience provisioning and managing multi-node Linux clusters using Warewulf, HPCM, xCAT, Bright Cluster Manager, Slurm, or equivalent technologies.
Experience building and deploying custom Linux OS images, RPM packages, and enterprise software repositories using Satellite, Pulp, Nexus, Artifactory, or similar solutions.
Experience managing compiler, library, middleware, AI framework, and application environments using Lmod, Environment Modules, or equivalent technologies.
Experience with containerization, orchestration, and virtualization, including Kubernetes, Docker, KVM, VMware, or OpenStack.
Experience with systems observability, platform security, and firmware integration, including ELK, security patching, vulnerability remediation, OS hardening, and openBMC.
Experience using AI-assisted development and agentic workflows for software development, infrastructure automation, debugging, or operational tasks with GitHub Copilot, Cursor, or similar technologies.
Passion for automation, operational excellence, and continuous improvement.

Responsibilities

Design, deploy, automate, and troubleshoot Linux-based systems across development, validation, and production environments.
Develop infrastructure automation and CI/CD solutions using Ansible, Python, Bash, Jenkins, Git, and related DevOps technologies.
Deploy, configure, and support large-scale AI/HPC clusters using Warewulf, HPCM, Kubernetes, and related virtualization and orchestration technologies.
Manage software packaging and deployment using RPM repositories, dependency management, Lmod, and automated distribution across compute environments.
Implement infrastructure observability, reliability, and security solutions, including ELK, vulnerability remediation, patching, and system hardening.
Lead complex system integration and root-cause debugging across hardware, firmware, BMC/openBMC, Linux, networking, middleware, and applications.
Drive end-to-end platform integration and validation in partnership with hardware, firmware, software, validation, security, and infrastructure teams.
Use AI-assisted development and agentic workflows to accelerate infrastructure development, automation, troubleshooting, and operational efficiency.