Senior Infrastructure and DevOps Engineer

Intel Corporation•Santa Clara, CA

1d•$137,610 - $265,870•Hybrid

About The Position

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact Intel's Silicon Architecture (SiA) organization defines the power, performance, and efficiency targets that guide future client products. Within SiA, the Power, Performance, Projections and Architecture (3PA) group builds the models and analysis frameworks used to evaluate architectural tradeoffs and drive product decisions across future generations. We are seeking a Senior Infrastructure and DevOps Engineer to design and operate the infrastructure behind large-scale modeling, simulation, and data analysis workflows. You will work cross-functionally with architects, modeling engineers, and software developers to ensure that complex analysis workflows and toolchains run efficiently, reliably, and at scale across Linux-based environments.

Requirements

Bachelor's Degree with 4+ or more years of experience, or a Master's Degree with 3+ years of experience, or a PhD in Computer Science, Information Systems, Electrical Engineering, Mathematics or any other STEM-related discipline.
3+ years of experience in infrastructure engineering, DevOps, software engineering and build/release engineering.
3+ years of experience working in Linux development environments.
2+ years of experience with CI/CD systems (Jenkins, GitHub Actions, GitLab CI, or similar).
2+ years of experience with build systems such as GNU Make, CMake, Bazel, or Ninja.

Nice To Haves

Advanced STEM degree and 7+ years of professional experience.
Experience writing scripts or software for automation (Python, Bash, or similar).
Experience supporting software development workflows such as build systems, testing pipelines, or deployment processes.
Experience with container technologies such as Docker or Kubernetes.
Experience supporting large-scale compute environments, HPC systems, or distributed workloads.
Experience with job scheduling systems (e.g., Slurm or similar).
Experience managing storage systems or distributed filesystems (e.g., NFS or similar).
Familiarity with performance tuning and resource utilization optimization in shared compute environments.
Experience supporting data analysis, modeling, or simulation workflows.
Familiarity with EDA tools, architecture modeling environments, or semiconductor development workflow.

Responsibilities

Design, deploy, and maintain Linux-based infrastructure supporting architecture modeling, simulation, and projection workflows.
Design and operate CI/CD pipelines for modeling frameworks, analysis tools, and supporting software components.
Develop and maintain automation for build systems, toolchains, packaging, and dependency management.
Enable scalable and reproducible execution of compute-intensive workloads.
Manage artifact storage, versioning, and distribution for software builds and modeling outputs.
Monitor and improve pipeline performance, reliability, and observability.
Debug infrastructure issues across the software stack including build systems, storage, networking, and distributed compute environments
Work cross-functionally with architects and developers to improve developer productivity, tooling quality, and system scalability.
Own and drive improvements to infrastructure components end-to-end.