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Lumilens

Photonic interconnects for AI infrastructure

Senior/Staff Software Engineer - Data

Data Engineering +1Confirmed live in the last 24 hours
Full-timeSan Jose, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 5 years of professional software engineering experience, with substantial experience building and owning data systems such as data engineering, analytics engineering, or backend systems handling large operational datasets.
  • Strong SQL skills and experience designing, building, and maintaining data pipelines.
  • Hands-on experience building dashboards and visualizations with a business intelligence or analytics framework such as Superset, Looker, Tableau, or similar.
  • Proficiency with the Python data stack, including pandas and numpy, and visualization libraries such as matplotlib, seaborn, altair, or similar.
  • Experience with cloud data infrastructure, preferably AWS.
  • Experience partnering directly with non-data domain experts to turn ambiguous requirements into concrete, reliable data solutions.
  • Ability to own a system end-to-end, from data model through dashboard, in a fast-moving startup environment.

Responsibilities

  • Architect and build data pipelines and infrastructure that transform manufacturing and test data, including yield, statistical process control, failure, and reliability data, into dependable signals for engineering and leadership decisions.
  • Design, build, and maintain dashboards and visualizations for executive, internal engineering, and external customer stakeholders.
  • Partner with optical, manufacturing, and quality/reliability engineers to translate ambiguous domain requirements into robust data models and tooling.
  • Build and maintain automated data quality checks and validation pipelines, including checks that gate critical processes such as shipping readiness.
  • Identify and close missing, inaccurate, or inconsistent data gaps in collaboration with domain experts and other data and machine learning engineers.
  • Drive improvements to pipeline reliability, turnaround time, and cost across product lines.
  • Apply version control, testing, code review, and continuous integration and continuous delivery practices to data systems.
  • Help set technical direction for the data organization as it scales across sites and mentor other engineers on the team.

Desired Qualifications

  • Direct experience with Apache Superset.
  • Experience with manufacturing, semiconductor, hardware, or other high-volume operational or test data.
  • Familiarity with statistical process control, SPC, or yield analysis concepts.
  • Experience working across distributed, multi-site teams.

About the Company

Lumilens

Photonic interconnects for AI infrastructure

Lumilens designs and manufactures optical interconnect products to accelerate AI infrastructure. It provides high-density photonic interconnects—such as high-density pluggable, near-packaged, and co-packaged optics—built with in-house silicon photonics to scale GPU clusters in AI data centers. Its products include 800G and 1.6T optical transceivers for AI networking, and it is pursuing broader integration like Electrical-Optical Interposers through a strategic partnership with POET Technologies. The company differentiates itself through vertical integration, custom robotics-driven manufacturing, and AI-optimized production processes that aim to improve yield and supply chain stability. Lumilens targets hyperscalers and large AI providers, seeking to move interconnect bottlenecks from compute to scalable, efficient data-center networks. Its goal is to enable faster, denser GPU connectivity to support growing AI workloads and models.

Company size
51-200
Company stage
Series C
Total funding
$839.5M
Headquarters
San Jose, CA
Founded
2024

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