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AI Software Engineering Intern
Intel CorporationAI Software Engineering Intern in Intel's Technical Enablement Group developing agentic AI systems on AI PC platforms. Focused on AI workflows, environments, and model integration.
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Set up and maintain AI development environments on AI PC platforms (OS, drivers, frameworks, toolchains).
- Develop and experiment with Agentic AI systems, including multi step reasoning, tool usage, memory, and task orchestration.
- Explore and integrate new AI models and applications relevant to AI PC usage scenarios.
- Support pretraining and fine tuning methodologies, including data pipelines, training workflows, and model integration.
- Implement AI coding tasks across infrastructure and application layers to enable agent based workflows.
- Evaluate functionality, performance, and usability of agentic AI workloads on client platforms.
- Collaborate with cross functional teams on AI software enablement and HW/SW integration.
- Document experiments, design decisions, and best practices to support knowledge sharing and future scaling.
Requirements
What you’ll need- Enrollment in Master's degree program in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- Strong background in AI / Deep Learning fundamentals, including neural network models and training concepts.
- Proficiency in Python programming.
- Experience with AI frameworks such as PyTorch and/or TensorFlow.
- Familiarity with LLM based workflows, AI agents, or task oriented AI systems.
- Interest in AI systems development on client platforms / AI PC.
Benefits
Comp & perks- Internship opportunities
- Collaborative work environment
- Opportunities for skill development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI development environmentsAgentic AI systemsmulti step reasoningtool usagememorytask orchestrationpretraining methodologiesfine tuning methodologiesdata pipelines
Soft Skills
collaborationdocumentationknowledge sharing
Certifications
Master's degree in Computer ScienceMaster's degree in Computer EngineeringMaster's degree in Electrical Engineering