Senior/Staff Software Engineer, Data

Lumilens Inc.

San Jose (CA)

Sur place

USD 130 000 - 180 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Health insurance
Professional development
Certification support
Cloud platforms access
Collaborative team environment

Résumé du poste

Lumilens Inc. is seeking a Senior/Staff Software Engineer, Data to build data pipelines and dashboards turning manufacturing/test data into reliable signals for leadership and engineers.

You'll collaborate with optical, manufacturing, and quality teams to design data models, pipelines, and visualizations that inform decisions across multi-site operations in the US and abroad.

Qualifications

  • 5+ years of professional software/data engineering experience with data systems
  • Strong SQL skills for building data pipelines and models
  • Hands-on experience building dashboards with BI tools (Superset/Looker/Tableau)
  • Proficiency with Python data stack (pandas/numpy) and visualization libraries
  • Experience with cloud data infra, preferably AWS
  • Track record partnering with non-data domains to deliver reliable data solutions
  • Comfort owning end-to-end data systems in a startup environment

Responsabilités

  • Architect and build data pipelines turning manufacturing/test data into reliable signals
  • Design and maintain dashboards for executives, engineers, and customers
  • Partner with optical/manufacturing/quality engineers to translate requirements into data models
  • Build and maintain automated data quality checks and validation pipelines
  • Identify and close data gaps in collaboration with domain experts
  • Drive improvements to pipeline reliability, turnaround time, and cost across product lines
  • Apply software engineering practices to data systems, not just scripts
  • Mentor other data engineers and help set technical direction across sites

Connaissances

Data engineering
SQL
BI dashboards
Python (pandas/numpy)
AWS
Cross-functional collaboration
End-to-end ownership

Outils

Superset
Looker
Tableau
Python stack

Description du poste

ABOUT LUMILENS

At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing faster, cooler, and massively more efficient.

We’re a well-funded startup backed by Mayfield and led by industry’s veterans who’ve built and scaled some of the most transformative technologies in the industry. This isn’t incremental innovation, it’s a ground-floor opportunity to rethink the optical layer from the silicon up. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver will shape the infrastructure of tomorrow.
If you're looking for mission, momentum, and the chance to make an outsized impact jump on the rocket ship. We’re just getting started.

POSITION OVERVIEW

We’re looking for a Senior/Staff Software Engineer, Data to build the data pipelines and visualizations that turn raw manufacturing and test data into reliable signal for the engineers running our lines, the researchers pushing the technology forward, and the leadership team steering the company. You’ll work directly with optical, manufacturing, and quality/reliability engineers to design the pipelines, data models, and dashboards that help a fast-growing, multi-site organization make decisions based on trustworthy data.

What You'll Do:

  • Architect and build the data pipelines and infrastructure that turn manufacturing and test data, including yield, SPC, failure, and reliability data, into dependable signal for engineering and leadership decisions.

  • Design, build, and maintain dashboards and visualizations for stakeholders across the executive team, internal engineering, and external customers.

  • Partner directly 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 data gaps, including missing, inaccurate, or inconsistent data, in close collaboration with domain experts and other data/ML engineers.

  • Drive improvements to pipeline reliability, turnaround time, and cost across product lines.

  • Apply strong software engineering practices, including version control, testing, code review, and CI/CD, to data systems, not just analysis scripts.

  • Help set technical direction for the data organization as it scales across sites in Thailand, Bangalore, Singapore, and the United States, and mentor other engineers on the team.

Key Qualifications:

  • 5+ years of professional software engineering experience, with a substantial portion spent building and owning data systems such as data engineering, analytics engineering, or backend systems handling large operational datasets. We are hiring across Senior and Staff levels.

  • Strong SQL skills and experience designing, building, and maintaining data pipelines.

  • Hands‑on experience building dashboards and visualizations with a BI or analytics framework such as Superset, Looker, Tableau, or similar. Direct experience with Apache Superset is a strong plus.

  • 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.

  • Track record of partnering directly with non‑data domain experts to turn ambiguous requirements into concrete, reliable data solutions.

  • Comfort owning a system end‑to‑end, from data model through dashboard, in a fast‑moving startup environment.

Preferred Skills:

  • 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.

Why Join Us?

  • Competitive salary commensurate with experience
  • Comprehensive benefits package including health insurance
  • Professional development opportunities and certification support
  • Access to cutting‑edge technology and cloud platforms
  • Collaborative work environment with cross‑functional teams
  • Innovate with a Silicon Valley headquartered team, change the world

Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.

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