AI Software Engineering Intern
Listed on 2026-07-21
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software & AI Developer Internship
Job Description
Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as system‑level deployment to enable scalable and efficient AI solutions.
As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands‑on experience and projects that support Intel business goals in a collaborative environment.
This position is not eligible for employment‑based visa/immigration sponsorship. Intel sponsors individuals for employment‑based visas for positions where we experience a shortage of U.S. Workers. These skills‑shortage roles are typically STEM‑contributing positions requiring a Master’s or PhD degree, or a Bachelor’s degree with at least three years of post‑degree related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non‑STEM contributing position, or (2) a STEM position that only requires a Bachelor’s degree and less than three years’ experience.
Minimum Qualifications- Available to work part‑time for 6–12 months and to work onsite for the duration of the internship while pursuing a degree.
- Pursuing a B.S. in the field of Computer Science, Electrical Engineering, Mathematics, Computer Engineering or Data Science with 3+ months of experience in programming languages such as Python and C++, and experience with AI frameworks and libraries like PyTorch, Tensor Flow, ONNX Runtime, and OpenVINO.
- Graphics experience (GPU / CUDA).
- Requirements listed would be obtained through a combination of industry‑relevant job experience, internship experiences and/or schoolwork/classes/research.
- Internship length: 6–12 months
- Job Type: Student / Intern
- Shift: Shift1 (United States of America)
- Primary
Location:
U.S., Arizona, Phoenix - Additional Locations: (none specified)
- Position of Trust: N/A
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.
BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
CompensationAnnual Salary Range for jobs which could be performed in the U.S.: $–USD (Hourly Role). The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all U.S. locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
WorkModel
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.
Additional InformationIntel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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