Lumilens

Lumilens

Senior/Principal Signal Integrity Engineer-Silicon Photonics & AI Interconnects

San Jose · Principal

Sponsorship not specifiedDetected 121 days ago
PythonMATLABCloud PlatformsData AnalysisANSYSEMI/EMCElectrical EngineeringSimulinkLeadershipCommunication

About the role

  • Lumilens is revolutionizing AI compute infrastructure with next-generation photonic interconnects.
  • Our solutions-leveraging co-packaged optics (CPO), near-packaged optics (NPO), high-density silicon photonics, and advanced heterogeneous integration-enable massive scale-out and scale-up architectures for the world's leading AI providers.

Responsibilities

  • Perform detailed electromagnetic (EM) modeling, extraction, and simulation of advanced packages, including silicon interposers, bridges, 2.5D/3D stacks, fan-out, CoWoS-like, and EMIB-like structures.
  • Develop and optimize package stack-ups, routing strategies, via transitions, bump pitch/layout, and redistribution layers (RDL) to minimize insertion/return loss, crosstalk, mode conversion, and impedance discontinuities.
  • Collaborate closely with silicon, photonic IC, and system design teams on bump map/pinout optimization, die-to-package co-design, floorplanning, and meeting SI targets across CMOS, BiCMOS and photonic processes.
  • Establish SI design rules, guidelines, and best practices for advanced packaging in photonic-integrated systems, ensuring adoption across projects.
  • Partner with lab teams to correlate simulations with high-frequency measurements (VNA, TDR/TDT, oscilloscopes, BERTs) on test vehicles, including de-embedding of fixtures and launch structures.
  • Lead technical reviews, present SI/PI findings to cross-functional stakeholders (technical and non-technical), and drive timely closure of design issues.
  • Professional development opportunities and certification support

Requirements

  • Deep expertise in very high-speed SerDes (≥56G, preferably 100G/200G PAM4), including channel modeling, equalization (FFE/DFE/CTLE), jitter/crosstalk analysis, eye diagrams, BER, and compliance/margining.
  • Extensive hands-on experience with leading SI/PI/EM tools (e.g., Ansys HFSS 3D/Layout, SIwave, Clarity, CST, Keysight ADS Momentum/Sigrity, HSPICE, HyperLynx).
  • Proven proficiency in time-domain transient simulations (HSPICE, ADS, MATLAB/Simulink) and scripting/automation (Python, TCL, MATLAB) for simulation flows, data analysis, and reporting.
  • Hands-on experience with 2.5D/3D packaging technologies (silicon/organic interposers, chiplet integration, HBM stacking) and high-frequency transmission line routing in silicon/photonic contexts.

Nice to have

  • Experience with power integrity co-simulation and SSO in advanced photonic-electronic packages.
  • Knowledge of emerging substrates (glass core, panel-level packaging) and optical interconnects (from pluggables to full CPO/NPO).
  • Background in EMI/EMC, mechanical, and thermal considerations for co-packaged optics and their SI/PI trade-offs.
  • Access to cutting-edge technology and cloud platforms
  • Collaborative work environment with cross-functional teams
  • Lumilens is an equal opportunity employer.
  • Bachelor's or Master's degree in Electrical Engineering, Physics, or related field (PhD preferred).

Skills

  • This isn't incremental innovation, it's a ground-floor opportunity to rethink the optical layer from the silicon up.

Compensation

  • Competitive salary commensurate with experience

Benefits

  • Comprehensive benefits package including health insurance
  • All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.

Company info

  • We are seeking a world-class Senior / Principal Signal Integrity Engineer to own and drive signal integrity (SI) and closely related power delivery strategies across complex 2.5D/3D packages.

Equal opportunity

  • equal opportunity employer.

This listing is sourced directly from Lumilens's careers page and normalized into a canonical job model.