Silicon Validation Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$225,300 / yr
Posted
53 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $188k
$137k $277k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $177,300–$241,750 — the blue band above. At the midpoint, this role pays about $188k versus about $210k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Silicon Validation Engineer

As a Silicon Validation Engineer, you will join the team to develop, maintain, and optimize software for the lab characterization, validation, and debug of analog and mixed-signal embedded circuits and silicon subsystems. Your daily responsibilities include designing embedded system software for lab instrumentation, managing peripheral communication interfaces like SPI, I2C, and UART, and performing time-domain and frequency-domain signal analysis. You will build data warehousing, visualization, and post-processing pipelines while developing artificial intelligence and machine learning solutions, including deep learning models and convolutional neural networks. You will utilize parallel computing frameworks such as MPI, OpenMP, and CUDA to accelerate workloads. By applying software design principles, algorithms, and data structures, you will architect scalable components to support end-to-end silicon validation and characterization workflows.

What you'll do

  • Develop and optimize software for lab characterization and debug of analog and mixed-signal embedded circuits.
  • Design embedded system software for hardware control and peripheral communication interfaces like SPI, I2C, and UART.
  • Perform time-domain and frequency-domain signal analysis to extract electrical parameters from waveforms.
  • Build data warehousing, visualization, and post-processing pipelines for large volumes of measurement data.
  • Develop AI and machine learning models, including CNNs, for post-silicon data analysis and predictive modeling.
  • Deploy computer vision pipelines for automated monitoring of lab equipment and chip handling.
  • Use MPI, OpenMP, and CUDA to accelerate compute-intensive signal processing and machine learning workloads.
  • Integrate lab software with upstream design tools and downstream system software for end-to-end validation.

What we're looking for

  • Develop and optimize software for lab characterization, validation, and debug of analog and mixed-signal embedded circuits.
  • Design embedded system software for lab instrumentation, including low-level hardware control and peripheral interfaces like SPI, I2C, and UART.
  • Perform time-domain and frequency-domain signal analysis to extract electrical parameters for circuit characterization.
  • Design and implement data warehousing, visualization, and post-processing pipelines for large volumes of measurement data.
  • Develop AI and machine learning solutions, including deep learning models and CNNs, for post-silicon data analysis and predictive modeling.
  • Develop and deploy computer vision pipelines for visual recognition and automated monitoring of lab equipment.
  • Leverage parallel computing frameworks including MPI, OpenMP, and CUDA for compute-intensive signal processing and machine learning.
  • Apply software design principles, algorithms, and data structures to architect scalable and reusable software components.

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