Intel

AI Software Engineering PhD Intern

In short

Intel is hiring a PhD intern to help design, develop, and optimize AI software solutions in computer vision, machine learning, and deep learning, including model tuning, applied research, and hardware-software integration. The role is based on-site in Phoenix, Arizona (with Hillsboro, Oregon as an additional location) at a major semiconductor company. Candidates must be PhD students in AI-related fields with strong skills in Python, C++, PyTorch, TensorFlow, OpenCV, data engineering, and math fundamentals (linear algebra, statistics, probability). Preferred candidates have publications at top CV conferences (CVPR, ICCV, NeurIPS) or a portfolio of CV/Image AI projects.

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.
Qualifications
Minimum Qualifications
•PhD Candidate from an accredited engineering or computer science program with emphasis on Artificial Intelligence, in particular on topics related to federated learning, image classification, or multiscale attention for object detection, computer vision, image processing, and feature engineering. Minimum 3.0 GPA or higher and proven track record of academic success.
•Research/course work on explainability tools
•Data engineering and preparation: data engineering, feature engineering, data imbalance, noisy dataset
•Strong grasp of linear algebra, statistics, and probability
•Strong analytical, problem-solving, communication skills. Self-motivation, and teamwork
•Experience or skills in the following languages: Python, C++, PyTorch, TensorFlow, and OpenCV
•Familiarity with Git, cloud, cloud concepts, containers, docker and MLOps
Preferred Qualifications
•Experience in deploying AI applications in production environments, requiring high levels of precision and accuracy
•Experience in working within the semiconductor industry or similar
•Research: First-author publications in top CV conferences (CVPR, ICCV, NeurIPS)
•A portfolio with projects in CV/Image AI (e.g., open-source contributions, research papers/projects)
Job Type
Student / Intern
Shift
Shift 1 (United States of America)
Primary Location
US, Arizona, Phoenix
Additional Locations
US, Oregon, Hillsboro
Benefits
We 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.
Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US 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.
Work Model for this Role
This role will require an on-site presence. Job posting details (such as work model, location or time type) are subject to change.

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