Chiplet Dev-Ops Engineer

Job Description

Come and join us in building something new. Intel is seeking a highly qualified candidate to help define and build out the overall infrastructure for the development, modeling and simulation activities for the newly formed Custom Products and Ecosystem organization. CPE's Chiplet team develops chiplets that enable BYO offerings for customers at scale. As a member of the Dev-Ops team, you will be contributing to the implementation of the CI/CD flows for the various chiplet programs. This will entail firmware builds, test suites, modeling and simulations flows, system-level integration, and customer level integration and enabling.

Responsibilities

• Design and implement the automated build infrastructure for the Chiplet team using industry best practices.
• Define a highly scalable process and methodology for all levels of the automated infrastructure.
• Enable customer emulation and simulation of the chiplet product for external validation.
• Work with partners across disciplines to identify requirements for and testing needed across IP/SoC Architecture and uArchitecture, Firmware, as well as System SW-level flows.
• Drive pathfinding and optimization of the infrastructure solution to continue to expand and streamline the CI/CD process.
• As a member of the Dev-Ops team, you will need to collaborate across multiple disciplines and organizations to effectively influence infrastructure direction and decisions.

The ideal candidate will exhibit:

Strong interpersonal skills and the ability and desire to collaborate across disciplines

Qualifications

Minimum Qualifications
Must have a bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent field.

5+ years of experience including the experience/skills below:

• Experience with Linux operating system and system administration.
• Experience in applying  Knowledge and application of industry standard practices in CI/CD.
• Experience with Makefiles and build system scripts.
• Experience with Software development in C, C++, Python and/or Bash scripting.

Preferred Qualifications

• Experience creating, managing and deploying Docker containers.
• Experience writing and maintaining GitHub action scripts and managing GitHub repositories.
• Deep understanding of Intel infrastructure offerings (1Source, CaaS, Harbor, Rancher, etc).
• Knowledge of SystemC Modeling a plus.

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

US, OR, Hillsboro; US, TX, Austin; US, CA, Folsom; US, CA, Santa Clara; US, CO, Fort Collins; US, MA, Hudson

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, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.



Annual Salary Range for jobs which could be performed in the US $132,810.00-$187,500.00
*Salary range dependent on a number of factors including location and experience

Working Model

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.