Signal Integrity Engineer - Memory Interface

San Francisco, CA, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Mobile Devices
  • Signal Integrity
  • DDR SDRAM
  • Physical Data Model
  • Electrical Engineering
  • Extraction
  • Systems Design
  • Modeling
  • Test Plans
  • Product Engineering
  • Systems Engineering
  • Debugging
  • Interfaces
  • Product Packaging
  • PCB
  • Laboratory Equipment
  • VNA
  • TDR
  • Real-time
  • Spectrum Analyzer
  • 3D Computer Graphics
  • Python
  • Generative Artificial Intelligence (AI)
  • Productivity

Summary

In this position, you will work with the team that develops SOCs used within Apple's mobile devices. You will be specifically responsible for memory interface signal integrity for Apple SoCs, covering the span from package to board. Prior design and modeling experience with DDR or LPDDR interfaces are a must-have.

You will work on electrical and physical design of memory systems.\n Work on electrical extraction and validation of package and MLB. \n Work with circuit and controller team to optimize memory system design. \n Work on SI and PI modeling, simulation, and characterization memory interface. \n Develop and execute test plans to validate signal and power integrity.\n Work with product engineering and system engineering to debug and to improve product yield.

BS + 10 years of industry experience.

MSEE + 8 years of industry experience and or Ph.D. preferred. \nWe are looking for someone who is familiar with signal and power integrity issues of memory interfaces.\nPrior experience working with actual product package/board design and analysis, PI/SI methodology development, and lab correlation/validation of the simulation results.\nExcellent academic background.\nFamiliar with lab equipment, such as: VNA, TDR, real-time scope, spectrum analyzer, etc.\nStrong fundamentals in 3D/2D EM simulation tools and transmission line theory.\nProficient in Python with strong foundational coding skills and expertise in leveraging generative AI coding assistants to enhance productivity.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 2459f52c9b1456f39ea71d038acdcd38
  • Posted 9 hours ago
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