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Lightmatter

Photonic computing hardware for AI acceleration

Staff / Senior Staff Laser Module & Systems Characterization Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • A Bachelor of Science degree with 8 years of experience, a Master of Science degree with 6 years of experience, or a PhD with 3 years of experience in Electrical Engineering, Physics, Optical Engineering, Photonics, or a closely related field.
  • Hands-on experience characterizing laser modules, including distributed feedback lasers and optical amplifiers, in a research or new product introduction environment.
  • Proficiency with core photonics laboratory equipment, including optical spectrum analyzers, optical power meters, lightwave component analyzers, high-bandwidth oscilloscopes, and signal generators.
  • Experience building or executing structured test plans for optical or electro-optic assemblies, from test design through data delivery.
  • Proficiency with Python or MATLAB scripting for measurement automation and statistical data analysis.
  • Strong written communication skills and the ability to produce thorough, well-organized characterization reports.
  • Familiarity with statistical process control, gauge repeatability and reproducibility, or JMP for production yield analysis.
  • Capacity to comply with federally mandated requirements of U.S. export control laws.

Responsibilities

  • Lead optical performance optimization and initial bring-up for Guide laser modules, defining and executing bring-up sequences from unpowered to full operating condition.
  • Develop and own the bring-up-to-eVT hand-off package, including measurement summary, pass/fail criteria, and known-good reference data.
  • Own characterization campaigns involving Guide- and Passage-based optical links, including end-to-end link validation, channel optimization, and margin verification through the lens of Laser/Guide systems.
  • Identify and resolve link-level anomalies, closing the loop with module-level root-cause analysis.
  • Develop structured manufacturing and characterization test plans aligned to photonics-control specifications; define measurement protocols, calibration sequences, and acceptance criteria.
  • Collaborate with control engineers to ensure test-plan data supports algorithm validation and production deployment.
  • Write and maintain Python or MATLAB measurement automation scripts for optical, electrical, and thermal test sequences; build data pipelines to surface yield signatures and process trends.
  • Author characterization reports documenting methodology, results, and recommendations, and communicate findings to cross-functional stakeholders.
  • Partner with the team on laser-safety interlock validation and controller characterization flows.
  • Interface with production on test-plan deployment, new product introduction transitions, and manufacturing scale-up.

Desired Qualifications

  • Experience with high-speed and optical link characterization methodologies.
  • Experience with laser module new product introduction, engineering validation testing, or manufacturing bring-up workflows; familiarity with hand-off packages to production.
  • Background in thermoelectric cooler and thermal control loops, laser safety interlock systems, or photonics control-style calibration flows.
  • Exposure to silicon photonics–III-V heterogeneous integration, including bonded distributed feedback sources, semiconductor optical amplifiers, or hybrid photonic packages.
  • Familiarity with optical link budgets and system-level characterization; experience operating multi-channel photonic integration platforms.
  • Experience with dense wavelength division multiplexing optical link bring-up and validation.

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

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