Join Apple's Hardware Engineering team as an intern to build cutting-edge analytics solutions leveraging Large Language Models (LLMs) and Model Context Protocol (MCP).Description You'll work on innovative projects that directly impact Apple's hardware development process, combining advanced AI capabilities with robust backend systems.Responsibilities Design and implement analytics solutions using Large Language Models for hardware engineering insightsDevelop Model Context Protocol (MCP) integrations to enhance AI model capabilities with domain-specific contextBuild intelligent data processing pipelines that leverage LLM capabilities for pattern recognition and anomaly detectionCreate conversational interfaces for hardware engineers to interact with complex datasetsArchitect and build scalable backend systems to support LLM-powered analytics workflowsImplement robust APIs for model inference, data ingestion, and result deliveryDesign efficient data storage and retrieval systems optimized for large-scale hardware telemetryDevelop real-time processing capabilities for continuous hardware monitoring and analysis Minimum Qualifications Currently pursuing Bachelor's or Master's degree in Computer Science, Engineering, or related fieldStrong programming skills in Python and/or SwiftExperience with machine learning frameworks (PyTorch, TensorFlow, or similar)Understanding of backend development principles and RESTful API designPreferred Qualifications Previous experience with Large Language Models (training, fine-tuning, or deployment)Knowledge of Model Context Protocol (MCP) or similar AI integration frameworksExperience with cloud platforms and containerization (Docker, Kubernetes)Background in data analytics, statistical analysis, or hardware engineeringFamiliarity with distributed systems and high-performance computingUnderstanding of AI safety and responsible AI practices Submit CV