SoC Correlation Product Engineer

Apple Inc

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Work type
On-site
Location
Austin, TX
Posted
17 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $205k
$137k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $168,500–$241,750.

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 3587 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2768 roles with salary data.

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At a glance

TL;DR · SoC Correlation Product Engineer

As an SoC Correlation Product Engineer within the Silicon Technologies group, you will develop system level test programs for the debug, characterization, qualification, and production of high-performance, power-efficient system-on-chip devices. You will perform measurements impacting SoC power and performance while collaborating with multi-functional teams to identify issues and implement corrective actions. Your daily responsibilities include characterizing multiple test setups, correlating results to ATE, optimizing production screening guardbands, and performing statistical data analysis to drive correlation across cross-functional teams. The role requires expertise in system level characterization using functional or virus-like worst case use cases and an understanding of PDN impact on Vmin. You will utilize scripting tools such as Python, JMP, and PERL to manage high volume characterization and production data analysis for next-generation processor technologies.

What you'll do

  • Develop system-level test programs for SoC debug, characterization, qualification, and production.
  • Perform measurements that directly impact SoC power and performance for next-generation products.
  • Collaborate with ATE and software teams to develop case tests and benchmarks for production testing.
  • Characterize multiple test setups and correlate them to ATE systems.
  • Optimize production screening guardbands for individual systems.
  • Define characterization plans and perform statistical data analysis on high-volume production data.
  • Drive correlation and data reviews across cross-functional teams to sign off on silicon activities.

What we're looking for

  • Bachelor's degree and 3 years of experience are required.
  • Experience with system level characterization using functional or virus-like worst case use cases and correlating to ATE (preferred).
  • Understanding of PDN impact on Vmin, ATE test content, system level test programs, and test hardware (preferred).
  • Experience working with and driving cross-functional teams (preferred).
  • Proficiency in statistical data analysis tools for high volume characterization and production data analysis (preferred).
  • Experience in scripting using Python, JMP, or PERL (preferred).

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