AI Software Engineering Intern

Intel Corporation

. Contribute to the design, development, and optimization of AI software solutions, including algorithms, frameworks, and AI software architectures .

Posted 10/27/2026internshipUnited StatesEntry Level💰 $170,598 - $170,602 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing AI software solutions, particularly in computer vision and machine learning. Proficient in deploying scalable AI applications and integrating hardware-software systems while maintaining a strong academic background in Artificial Intelligence.

Highest-signal resume keywords

PhD Candidate In Artificial IntelligenceExperience With Python, C++, PyTorch, TensorFlow, And OpenCVData Engineering And PreparationFamiliarity With Git, Docker, And MLOpsExperience Deploying AI Applications In Production Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceComputer VisionMachine LearningDeep LearningFeature EngineeringImage ClassificationMultiscale Attention For Object DetectionExplainability ToolsLinear AlgebraStatistics

Tools & Technologies

GitDockerCloud ConceptsMLOpsOpenCV

Industry Keywords

Semiconductor IndustryAI Software ArchitecturesScalable AI SolutionsPerformance TuningNoisy Datasets

Tech Stack

Tools & technologies

CloudDockerPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Contribute to the design, development, and optimization of AI software solutions, including algorithms, frameworks, and AI software architectures
Work across computer vision, machine learning, and deep learning domains
Assist in implementing and tuning models for performance and accuracy
Support applied research and hardware-software integration
Create AI software solutions with internal product teams and external partners
Support system-level deployment of scalable and efficient AI solutions
Build skills through hands-on experience and projects supporting Intel business goals

Requirements

What you’ll need

PhD candidate from an accredited engineering or computer science program with emphasis on Artificial Intelligence, particularly federated learning, image classification, 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/coursework on explainability tools
Data engineering and preparation, including feature engineering, data imbalance, and noisy datasets
Strong grasp of linear algebra, statistics, and probability
Experience or skills in Python, C++, PyTorch, TensorFlow, and OpenCV
Familiarity with Git, cloud concepts, containers, Docker, and MLOps
Preferred: experience deploying AI applications in production environments
Preferred: experience in the semiconductor industry or similar
Preferred: first-author publications in top computer vision conferences such as CVPR, ICCV, or NeurIPS
Preferred: portfolio with computer vision/image AI projects, open-source contributions, or research papers/projects

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits