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Lightmatter

Hardware Verification Engineer — Electro-Optic Links

Boston, MAFrom $250kmidAdded today

About this role

Lead hardware verification and characterization of high-speed electro-optic links for Lightmatter's photonics-based AI data center infrastructure. You'll own verification methodology, drive bench testing of novel optical-electrical systems, build predictive models, and mentor senior engineers while solving critical signal integrity challenges across silicon and system programs.

What you'll do

  • Conduct hands-on lab characterization and debug of high-speed electro-optic hardware with novel failure modes
  • Build and validate system-level electrical/optical/EO channel models against bench measurements
  • Own link budget and verification methodology while executing measurements and correlations
  • Characterize eye diagrams, BER, jitter, equalization, and channel impairments across 56G+ serial links
  • Support silicon bring-up and root-cause analysis with analog, package, PCB, and SerDes teams
  • Develop automation and tools to accelerate characterization workflows and mentor engineers

What they're looking for

  • High-speed serial links (56G/112G/224G+) and SerDes equalization (CTLE/FFE/DFE)
  • Signal integrity, S-parameters, crosstalk analysis, and link budget modeling
  • Lab instrumentation: VNA, oscilloscopes, BERTs, TDRs
  • Simulation and modeling tools: ADS, HFSS, Cadence, COMSOL, COM/IBIS-AMI
  • Python and MATLAB for automation frameworks
  • Silicon photonics and electro-optic systems architecture
  • Package/PCB/channel co-design
  • Team mentoring and technical leadership

Benefits

  • Competitive base salary ($195,000–$250,000) plus equity grants
  • Comprehensive medical, dental, and vision coverage
  • 401(k) matching and life insurance
  • Generous paid time off, sick leave, and paid family leave
  • Flexible hybrid work model in Boston, MA
  • Professional development and training programs

Likely interview questions

  • Walk us through a high-speed link failure you debugged that stalled others—what was your methodology and what did you discover?
  • How have you built and validated channel models in past projects, and how did you ensure correlation with hardware measurements?
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