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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.

In 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 & 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.
Validation & 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.
Automation & Scripting: Develop, enhance, and maintain automated test scripts (primarily in Python) to control test equipment, stimulate physical devices, and increase validation coverage.
AI & Workflow Innovation: Explore and apply modern AI coding tools and agentic workflows to streamline data parsing, automated log analysis, script generation, and engineering documentation.
Data Analysis & Technical Reporting: Process large parametric datasets, identify statistical margins and test trends, and prepare concise technical reports and failure analysis (FA) summaries.

Preferred Qualifications
Familiarity with computer/embedded architectures (ARM, MCU, or SoC peripheral buses such as I2C, SPI, UART, USB, PCIe).
Experience writing instrument control scripts (PyVISA, SCPI) or automated hardware test benches.
Experience 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.
Strong analytical mindset, curiosity to explore cutting-edge technologies, and ability to collaborate effectively in a fast-paced team environment.
Ability to commit to a 6-month on-site internship (start date flexible/aligned with academic calendar).

Minimum Qualifications
Currently enrolled in a BS, MS, or PhD program in Electrical Engineering, Computer Engineering, or a related discipline.
Solid fundamentals in electrical engineering (analog/digital circuit analysis, power delivery, and signal integrity basics).
Hands-on lab experience with circuit assembly, soldering, schematic/layout reading, and standard bench instrumentation (oscilloscopes, multimeters, power supplies).
Basic proficiency in at least one scripting or programming language (Python, C/C++, or Shell).
Good written and verbal English communication skills.

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Industry: Technology

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