CPU Power Performance Engineer Intern

Job Description

Job Description

We are seeking a motivated and talented Intern to join our team, focusing on performance analysis and optimization for next-generation processor architectures. This internship offers a unique opportunity to work on cutting-edge CPU technologies and contribute to Intel's mission of driving innovation in high-performance computing.
As an intern, you will collaborate with senior engineers to analyze processor performance, develop simulation tools, and optimize code to achieve efficiency goals. Your contributions will directly impact product development and system-level performance enhancements.
Key Responsibilities:

• Conduct performance analysis of CPU architectures using advanced simulation and monitoring tools.
• Develop and optimize software frameworks for processor performance evaluation.
• Collaborate with hardware and software teams to identify and address performance bottlenecks.
• Document findings and propose innovative solutions to improve CPU efficiency.
• Contribute to the development of tools and methodologies for architectural performance modeling.

Professsional behavioral traits:

• Solid problem-solving skills and attention to detail.
• Strong analytical skills with the ability to solve complex technical problems.
• Strong communication skills and the ability to work in a collaborative environment.

Qualifications

This is a 6-12 month long internship, so only those candidates that can commit to at least 6 months or more will be considered. 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.

Minimum Qualifications:
Pursuing an MS or PhD degree in Computer Engineering, or Computer Science with 3 + months of academic or work experince in:

• CPU architecture, including pipelines, caches, and instruction execution.
• Demonstrable programming experience in C, C++, and Python.
• Experince with both Linux and Microsoft Windows operating systems.
  
  Preferred Qualifications:
• Familiarity with performance profiling tools and techniques.
• Knowledge of modern CPU technologies, such as multithreading, out of order execution, cache coherency and multi-socket systems.
• Experience with Linux development environments and scripting.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

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.



Annual Salary Range for jobs which could be performed in the US $63,000.00-$166,000.00
*Salary range dependent on a number of factors including location and experience

Working Model

This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.