Be part of an At Scale Validation team responsible for delivering results across a broad range of datacenter servers families ensuring the quality of our products through developing the most efficient workload pipelines.This position is for an intern with an interest in hardware validation and debug.The role will provide the opportunity to contribute in cloud tools and scripts development, and support our team with triage and debug for different issues found within the cluster systems under test.**Qualifications****Minimum Qualifications**:- 3+ months of experience with programming in C and/or Python- Intermediate or advanced English communication skills**Preferred Qualifications**:- Computer architecture knowledge- Experience with interfaces like PCIE, I2C, USB- Networking**Inside this Business Group**The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems. DPEA enables that data center which 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****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.**In certain circumstances the work model may change to accommodate business needs.