Silicon Validation Engineer - AI/ML & Lab Automation Equity

Apple Inc.; Cupertino (CA); Hybrid; USD 150,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Stock-based compensation

Relocation assistance

Tuition reimbursement

Employee stock purchase plan

Job summary

APPLE INC is seeking an experienced engineer to develop software for lab characterization and silicon validation in Cupertino, CA. You will work on embedded system software, including hardware bring-up, SPI/I2C/UART interfaces, and data-driven validation workflows.

You will design data pipelines, apply AI/ML models with PyTorch/TensorFlow, and build computer vision tooling to monitor lab equipment and automate chip handling. Collaboration across teams is essential.

Qualifications

• Master's degree or foreign equivalent in Electrical Engineering, Electronics Engineering, or a related field.
• Designing and analyzing electronic circuits, including analog, mixed-signal, and power circuits, to support validation and characterization of silicon IPs and subsystems.
• Designing embedded systems using microcontrollers or FPGAs, including experience with hardware bring-up, peripheral interfaces and low-level control.
• Programming in Python, C and Tcl to develop test automation scripts and lab tooling.
• Signal analysis and processing with time- and frequency-domain methods using NumPy, SciPy, and MATLAB.
• Data management pipelines using SQL databases to support silicon bring-up and tape-out decisions.
• AI/ML techniques with PyTorch or TensorFlow to develop predictive models and pattern recognition.
• PyTorch, TensorFlow and OpenCV for CNNs and computer vision in lab monitoring and chip handling.

Responsibilities

• Develop, maintain, and optimize software for lab characterization, validation, and debug of analog and mixed-signal circuits.
• Design embedded system software for lab instrumentation and test platforms with low-level hardware control.
• Develop data warehousing, visualization, and post-processing pipelines for large measurement data.
• Develop AI/ML solutions, including CNNs, for data analysis and pattern recognition in lab data.
• Develop computer vision pipelines for visual monitoring of lab equipment and chip handling.
• Leverage MPI, OpenMP, and CUDA to accelerate compute-heavy workloads on multi-core CPUs and GPUs.
• Integrate lab software with upstream design tools and automate test sequence conversion for end-to-end validation.

Skills

Python

C

Tcl

SQL

NumPy

SciPy

MATLAB

PyTorch

TensorFlow

OpenCV

CNNs

CUDA

MPI/OpenMP

Embedded systems

Education

Master's degree in Electrical Engineering or related field

Tools

SPI

I2C

UART

MATLAB

CUDA

PyTorch

TensorFlow

OpenCV

Job description

APPLE INC is seeking an experienced engineer to develop software for lab characterization and silicon validation in Cupertino, CA. You will work on embedded system software, including hardware bring-up, SPI/I2C/UART interfaces, and data-driven validation workflows.

You will design data pipelines, apply AI/ML models with PyTorch/TensorFlow, and build computer vision tooling to monitor lab equipment and automate chip handling. Collaboration across teams is essential.