iPad System EE - Hardware Engineering Intern

Description du poste:

The iPad System EE team is responsible for the design, implementation, and electrical validation of iPad hardware architectures. We are seeking a passionate and driven Hardware Engineering Intern to join our team in delivering next-generation iPad platforms. \\n\\nIn this role, you will work side-by-side with experienced System EE engineers on board bring-up, hardware validation, lab instrumentation, and failure analysis. You will bridge hardware and software by developing automated test scripts, isolating complex electrical issues, and leveraging modern engineering and AI-assisted workflows to accelerate hardware development cycles.\",\"description\":\"Hardware Bring-up \u0026 Debug: Participate in prototype PCBA bring-up and power-on sequencing. Utilize lab bench instrumentation (high-bandwidth oscilloscopes, logic analyzers, spectrum analyzers, DMMs, and active probes) to troubleshoot and isolate signal integrity, power, and functional issues.\\nValidation \u0026 Characterization: Execute comprehensive test plans against design specifications across power rails, high-speed interfaces, and peripheral buses (I2C, SPI, UART, PCIe, USB). Collaborate with cross-functional partners (Silicon, Firmware, Software, and Product Design) on system-level validation.\\nAutomation \u0026 Scripting: Develop, enhance, and maintain automated test scripts (primarily in Python) to control test equipment, stimulate physical devices, and increase validation coverage.\\nAI \u0026 Workflow Innovation: Explore and apply modern AI coding tools and agentic workflows to streamline data parsing, automated log analysis, script generation, and engineering documentation.\\nData Analysis \u0026 Technical Reporting: Process large parametric datasets, identify statistical margins and test trends, and prepare concise technical reports and failure analysis (FA) summaries.\",\"preferredQualifications\":\"Familiarity with computer/embedded architectures (ARM, MCU, or SoC peripheral buses such as I2C, SPI, UART, USB, PCIe).\\nExperience writing instrument control scripts (PyVISA, SCPI) or automated hardware test benches.\\nExperience or strong interest in leveraging modern AI tools and agentic workflows (e.g., LLM coding assistants, automated script generation, or AI-assisted data analysis) to enhance engineering productivity.\\nStrong analytical mindset, curiosity to explore cutting-edge technologies, and ability to collaborate effectively in a fast-paced team environment.\\nAbility to commit to a 6-month on-site internship (start date flexible/aligned with academic calendar).\",\"minimumQualifications\":\"Currently enrolled in a BS, MS, or PhD program in Electrical Engineering, Computer Engineering, or a related discipline.\\nSolid fundamentals in electrical engineering (analog/digital circuit analysis, power delivery, and signal integrity basics).\\nHands-on lab experience with circuit assembly, soldering, schematic/layout reading, and standard bench instrumentation (oscilloscopes, multimeters, power supplies).\\nBasic proficiency in at least one scripting or programming language (Python, C/C++, or Shell).\\nGood written and verbal English communication skills