Platform Validation Engineer

Job Description

The Server/Node Validation org located within Intel Data Center and AI Group (DCAI) is responsible for the validation and verification of Intel's next generation Xeon platforms. 1. Responsibilities include enabling and validating new platform technologies on key OEM/CSP customer systems. 2. We are looking for a capable Platform Validation and Debug Engineer with a thorough working knowledge of platform debug approaches to help us with our Xeon Platform validation efforts. In this role, you will help deliver and ensure a quality end-to-end solution. You will be responsible for the development/creation of new test content or leveraging existing ones to validate on key OEM/CSP customer platforms, as well as debug of issues that arise. 3. You will help setup and config systems in the lab to enable testing and hands-on debug. You will work with both internal and external validation teams. 4. You will bring your understanding of debug and/or validation practices to help solve challenging platform issues. 5 You will develop/maintain automation framework/infrastructure, general test cases customization and tools to improve efficiency of validation tasks We are looking for someone that will be hands-on, is comfortable getting in the lab, and who is interested in using state of the art debug and test equipment to help discover and drive resolution to key issues. If you enjoy solving technical problems and like challenging yourself with leading edge technology, we are interested in hearing from you.

Qualifications

You must possess the minimum qualifications 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. Relevant experience can be obtained through schoolwork, classes, and project work, internships, military training, and/or work experience. Minimum Qualifications - 5 years of validation or debug experience with a Computer Science/Electrical Engineering or related degree (3 years with a Master's Degree) will also be considered. - Experience must also be inclusive of platform SW/FW validation/development and/or debug experience. - Knowledge of computer architecture, server validation, automation framework, and SW tools development - Familiarity with Linux OS, Python scripting and coding languages - Ability to work directly with customers, as well as remotely with partners in other geo. - Ability to clearly communicate in Mandarin and English both written and verbal. Preferred Qualifications - Intel Architecture and Server Platform experience. - Experience in microcontroller debug experience on CPU, PCH pre or post Silicon

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.

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.

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.