L

Lightmatter

Photonic computing hardware for AI acceleration

Electro-Optic Link Hardware Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • An MS or PhD in Electrical Engineering, Photonics, or Physics with at least 8 years of experience, or a BS or MS with at least 10 years of experience.
  • Ownership of verification strategy for a full silicon/system program.
  • Deep expertise in 56G/112G/224G+ serial links, SerDes equalization (CTLE/FFE/DFE), and signal integrity, including S-parameters, crosstalk, and link budgets.
  • Hands-on lab experience leading investigations that stalled others.
  • Strong Python/MATLAB skills for team-used automation frameworks.
  • Proficiency with VNAs, oscilloscopes, BERTs, TDRs, and tools such as ADS, HFSS, Cadence, and COMSOL.
  • A track record of mentoring engineers.

Responsibilities

  • Run hands-on lab characterization and debug of high-speed electrical/optical hardware, including novel failure modes.
  • Build system-level electrical/optical/EO channel models and correlate them against bench measurements.
  • Own link budget and verification methodology while performing validating measurements.
  • Characterize eye diagrams, BER, jitter, equalization, and channel impairments.
  • Support silicon bring-up and root-cause debug with analog, package, PCB, and SerDes teams.
  • Influence chip/package/system architecture tradeoffs based on bench findings.
  • Mentor Senior/Staff engineers while continuing lab work.
  • Build automation and tools to speed up characterization work.

Desired Qualifications

  • Experience with silicon photonics/EO systems at the architecture level.
  • Package/PCB/channel co-design ownership.
  • Experience with COM/IBIS-AMI modeling and patents or standards contributions (OIF, IEEE 802.3).

About the Company

Lightmatter

Photonic computing hardware for AI acceleration

Lightmatter develops photonic computing hardware that accelerates AI workloads using light-based processors. Its photonic supercomputers run AI tasks faster and use far less energy (about 10x faster and 90% less energy) than traditional electronic systems. The company differentiates itself by focusing on electro-photonic systems and practical AI acceleration for AI and autonomous vehicle workloads, working with universities and selling hardware, software licenses, and partnerships. Its goal is to bring scalable photonic computing to market so AI and self-driving applications can run faster, more efficiently, and at larger scale.

Company size
201-500
Company stage
Series D
Total funding
$822M
Headquarters
Mountain View, CA
Founded
2017

Recently Posted Jobs

Explore more opportunities at Lightmatter

See more jobs