SECTION I · THE BRIEF
Brief #92224Updated 02 SEP 2026SAN JOSE, CAAshbySPARK CAPITAL
Employbl Company Profile

Senior Staff Software Engineer, Data

Lumilens is a photonics technology company founded in 2024 and headquartered in Belmont, California, specializing in high-performance photonic interconnect solutions for AI data center infrastructure and…

Location
San Jose, CA
Company size
50–100
Posted
2d ago
Via
Ashby
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Senior Staff Software Engineer, Data · Lumilens

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Job title
Senior Staff Software Engineer, Data
Job location
San Jose
Job description

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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Lumilens headquarters

San José, CA

Company size

50100 employees

Founded

2024

Total raised

$739,203,157

View company profile ↗

Funding rounds