Silicon Validation Engineer

Apple Inc. is seeking talented individuals to join their team in Cupertino, California, and various locations across the USA. The role involves bench testing, debugging, and characterizing embedded on-chip circuitry, contributing to innovative products that enhance everyday life. Apple values diversity and collaboration, fostering an environment where extraordinary people can thrive and create groundbreaking technology.

Responsibilities:

• Conduct bench testing, debugging, and characterization of embedded on-chip circuitry including PLLs, DLLs, clocks, data converters, DDR memory, and various I/O interfaces.
• Develop benchtop electrical tests utilizing FPGA, JTAG, SPI, and analog interfaces.
• Draft and execute scripts to automate tests, extract results, and generate reports using database and analytical tools.
• Generate reports for characterization and debugging to provide design feedback.
• Perform in-system PI/SI measurements for correlation with simulation models.
• Collaborate with cross-functional teams including Design, System HW, and Software.
• Support ATE and Product Engineering.

Qualifications:

• Master's degree or foreign equivalent in Electrical Engineering, Electronic Circuits and Systems, or a related field.
• 5 years of experience in the job offered or a related occupation.

Skills:

• Characterizing and validating high-speed serial interfaces (e.g., PCIe, USB, OIF, Ethernet).
• Executing bring-up and validation of SerDes links across multiple protocols.
• Performing link margining, eye diagram analysis, and jitter tolerance testing using real-time and sampling oscilloscopes, BERTs, and pattern generators.
• Developing and maintaining automation scripts for high-volume SerDes testing to streamline data collection and analysis.
• Implementing data visualization pipelines to summarize BER, eye height/width, and adaptation results across sweeps and temperature conditions.
• Building machine learning models to predict BER trends or optimize equalization parameters using lab data.
• Utilizing experience in signal integrity and familiarity with vector network analyzers.
• Facilitating automation using Python.
• Implementing machine learning and AI-based optimization.
• Performing RTL coding and creating RTL scripts for testing.