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MatX

SIPI Characterization Engineer

Mountain View, CA$120k–$475kfull-timemidAdded today

About this role

MatX seeks an experienced SIPI Characterization Engineer to own electrical validation of high-speed SerDes interfaces and power delivery networks for AI accelerator systems. You'll build scalable test automation infrastructure, perform hands-on characterization across thousands of channels, and partner with design teams to optimize hardware from concept through production.

What you'll do

  • Characterize high-speed SerDes interfaces (PCIe, Ethernet, custom protocols) including BER testing, eye diagrams, and PVT analysis
  • Measure and analyze power rail transient noise, voltage droop, and PDN impedance on complex accelerator systems
  • Architect scalable test automation frameworks for EDVT covering thousands of SerDes channels using Python and lab instruments
  • Develop correlation methodologies between simulation predictions and measured results to improve modeling accuracy
  • Collaborate with SIPI and board design teams on package optimization, PCB stackup, trace routing, and decoupling strategies
  • Provide characterization data and actionable recommendations to influence design rules and future silicon revisions

What they're looking for

  • High-speed SerDes architecture and PHY layer fundamentals
  • Transmission line theory and impedance matching
  • Power delivery network (PDN) design principles
  • Lab equipment proficiency (oscilloscopes, BERTs, VNAs, TDR)
  • Python scripting for test automation
  • Data pipeline development and statistical analysis
  • PCB layout review and advanced package design
  • JEDEC and PCIe compliance testing methodologies

Benefits

  • Equity compensation with flexible cash mix
  • Company-subsidized health, dental, vision, and life insurance
  • Health Savings Account with generous company contribution
  • 4 weeks paid time off
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MatX

MatX builds cutting-edge AI silicon and the system software stack to power it, focusing on optimizing hardware and software for large-scale machine learning workloads. The company is hiring system software engineers, kernel developers, compiler engineers, hardware simulators, and SOC integration engineers to design high-performance AI compute platforms.

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Likely interview questions

  • Walk us through your experience characterizing high-speed SerDes interfaces—what specific protocols have you worked with and what challenges did you encounter?
  • Describe a time you developed test automation for a large-scale characterization effort. How did you handle instrument integration and data management?
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