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AI Software Engineer Intern
Intel Corporation. Design, develop, and optimize AI software solutions, including algorithms, frameworks, and architectures .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing AI software solutions, with a strong foundation in deep learning methodologies and model compression techniques. Proficient in Python or C++ and familiar with AI frameworks such as TensorFlow and PyTorch.
Highest-signal resume keywords
AI Software DevelopmentDeep Learning FundamentalsModel Compression TechniquesPython or C++ ProficiencyAI Frameworks (TensorFlow, PyTorch)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Software DevelopmentDeep LearningModel CompressionFine-Tuning AI ModelsInference Optimization
Soft Skills
CollaborationDocumentationKnowledge Sharing
Tools & Technologies
TensorFlowPyTorch
Industry Keywords
AlgorithmsFrameworksArchitecturesQuantizationPruningLarge Language Models (LLMs)
Tech Stack
Tools & technologiesPythonPyTorchTensorflowC++
About the role
Key responsibilities & impact- Design, develop, and optimize AI software solutions, including algorithms, frameworks, and architectures
- Assist in implementing and fine-tuning deep learning models for improved accuracy and performance
- Explore model compression techniques such as quantization and pruning to enhance system efficiency
- Collaborate with internal teams and external partners to develop scalable AI solutions for system-level deployment
- Conduct applied research to refine AI methodologies and support hardware-software integration
- Document technical findings and contribute to knowledge-sharing initiatives within Intel
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or a related field, with 0-1 years of hands-on experience in the domain, including skills gained through internships, academic projects, coursework, or hands-on training, OR a Master's degree in a relevant field with no prior professional experience
- Proficiency in Python or C++ for AI software development and debugging
- Solid understanding of deep learning fundamentals, including large language models (LLMs)
- Familiarity with model compression techniques such as quantization and pruning
- Knowledge of AI frameworks like TensorFlow or PyTorch
- Experience in fine-tuning AI models, inference optimization, or agent development is a plus
Benefits
Comp & perks- Hands-on projects and technical skill and knowledge development
- Collaborative, engaging, and growth-oriented environment
- Knowledge-sharing initiatives
- Full-time student/intern opportunity