Senior Infrastructure and DevOps Engineer

Senior Infrastructure And DevOps Engineer

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.

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.

Key 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.

The candidate should also exhibit the following behavioral traits and/or skills:

• Proactive and willing to work in a dynamic and team-oriented environment.
• Enthusiastic collaborator and organizer and a self-starter.
• Collaborative and interpersonal skills, willing to influence and motivate others.
• Effectively communicate and articulate technical concepts in a clear and concise manner to both line and executive leadership.
• Model based problem-solving and root cause analysis skills.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara

Business Group:

Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $137,610.00-265,870.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.