Internship responsibilities include but are not limited to:
- Analyzing and modeling power estimates, collaborating with the team members for inputs, identifying methodologies to reduce bottlenecks and automating tasks to improve efficiency
The ideal candidate will also demonstrate the following traits:
- Skilled in effective communication and teamwork, analytically driven with strong problem-solving skills
- A resourceful and disciplined self-starter and detail oriented
Qualifications
Minimum Requirements:
The candidate must be pursuing Master's or PhD degree in Computer / Electrical / Mechanical Engineering or Computer Science.
6+ months experience with:
- Pre-Si power analysis and modeling
- Programming or scripting languages, preferably in Perl, Python, or Ruby
- Industry-standard design and power estimation tools
- General computer architecture and digital circuit design concepts
Xeon and Networking Engineering (XNE) focuses on the development and integration of XEON and Networking SOC's and critical IP's sustain Intels Xeon and 5G networking roadmap.
Other Locations
US, Arizona, Phoenix;US, California, Folsom;US, Massachusetts, Hudson;US, Oregon, Hillsboro;US, Texas, Austin
Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.
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.
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.
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