Location: US, Texas, Austin | US, California, Santa Clara
Job Type: Student/Intern
Shift: Shift 1 (United States of America)
Intel is renowned for its bold inventors and problem solvers who have led revolutionary technological advancements and created exclusive experiences globally. Our dedication lies in deploying smart, connected devices to everyone across the globe, with a focus on relentless innovation. We are continually evolving technology and revel in the challenges of changing the world for betterment.
Are you passionate about solving technical challenges that have never been tackled before? Do you enjoy collaborating with cross-functional teams to deliver impactful IP solutions? If so, join us to create something extraordinary.
We are seeking world-class AI Software Engineering graduate interns to help define the future of technology.
Business Group: The Data Center & Artificial Intelligence Group (DCAI)
The DCAI group drives Intel’s transformation from a PC-centric company to a data-centric company, supporting services in AI, 5G, and high-performance computing. Our solutions power cloud, communications, enterprise, and government data centers globally.
All qualified applicants will receive consideration for employment without regard to race, color, religion, 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.
We offer a comprehensive compensation package, including competitive pay, stock options, bonuses, and benefits programs covering health, retirement, and vacation.
Annual Salary Range for roles in California: $63,000.00 - $166,000.00 (dependent on location and experience).
This role supports a hybrid work model, allowing employees to split their time between working on-site at their assigned Intel location and off-site. In certain circumstances, the work model may adjust to meet business needs.