---
title: 'Senior/Staff Software Engineer, Data at Lumilens'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-data-lumilens-san-jose-mxja907kewxx'
type: 'job'
last_seen: '2026-10-19'
---

# Senior/Staff Software Engineer, Data at Lumilens

- **Company:** Lumilens
- **Location:** San Jose, CA
- **Employment:** full-time
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/lumilens/09219ea8-4882-4bb1-928a-e0126aa8f52d

## 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.

## About Lumilens

## Company Overview
- **One-liner**: Lumilens designs and manufactures next-generation photonic interconnects to massively scale AI compute infrastructure.
- **Entity Type**: Private (Series B – led by Accton Technology; prior Series A of $30M from Mayfield and Spark Capital)
- **Headquarters**: San Jose, California, USA
- **Founded**: 2024
- **Founders**: Ankur Singla (CEO), Samuel Liu (VP Products), Ritesh Kapahi (VP/GM India), Dave Friedman (VP Operations)

## Core Business
- **Primary industry**: Photonics / optical interconnects for AI data centers
- **Target customers**: Large-scale AI providers and hyperscale data center operators (B2B, Enterprise)
- **Mission**: “To rapidly innovate in photonics and connectivity architectures to enable the massive scaling of compute infrastructure required to deliver the full potential of AI.”

## Products & Services
- **Photonic Interconnects (Scale-Out & Scale-Up)**: High-density, low-latency optical links that enable cluster-to-cluster and direct GPU-to-GPU connectivity. Supports 100x higher quantity of GPU direct connections than legacy approaches.
  - *Type*: Hardware (silicon photonics modules) + integrated manufacturing
- **Automated Manufacturing Platform**: End-to-end custom robotics and AI-optimized production processes to maximize yield, quality, and supply-chain flexibility.
  - *Type*: Service / Manufacturing capability (in-house)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding – $30M Series A (June 2024); Series B led by Accton Technology (amount undisclosed)
- **Notable Investors/Partners**: Mayfield, Spark Capital, Accton Technology
- **Growth Signals**:
  - Headcount grew 287% YoY (54 employees as of mid-2025) [linkedin.com]
  - Operations in 8 countries: USA, India, Thailand, Poland, Singapore, Czechia, South Korea, Malaysia
  - 48 active job postings (+23.1% monthly growth) [linkedin.com]
  - Leadership team with deep photonics/networking experience from Cisco, Juniper, Meta, Lumentum, Coherent

## Competitive Advantages
- **In-house silicon photonics development** – full control over design and supply chain
- **Systems-level expertise** – can partner on both scale-out and scale-up architectures
- **Manufacturing automation** – robotics + AI processes enable faster innovation, higher quality, and predictable deployment
- **Standards-based interconnects** – easy deployment into existing infrastructure
- **Manufacturing anywhere** – supply-chain continuity and scalable manufacturing

## Strategic Focus
- Enable massive scaling of AI infrastructure by overcoming electrical/copper limitations with advanced photonics
- Disaggregate GPUs to mitigate power and density challenges in data centers
- Expand manufacturing capacity globally and continue to automate production
- Align product roadmap with industry standards to accelerate adoption

## Why Work Here
- **Culture**: Fast-paced startup environment with deep technical expertise; mission-driven focus on enabling the future of AI
- **Work policy**: In-office (HQ San Jose, CA with Bengaluru, India as major hub) [builtin.com]
- **Perks**: Opportunity to work on cutting-edge photonics, robotics, and AI manufacturing; direct impact on world’s largest AI infrastructure
- **Engineering culture**: Heavy emphasis on silicon photonics, hardware design, robotics automation, and system-level architecture. Teams are led by veterans from Cisco, Juniper, Meta, Lumentum, Coherent.

## Sources
1. [lumilens.com](https://lumilens.com/) – Company overview, mission, leadership, products
2. [lumilens.com/company](https://lumilens.com/company) – Vision, investors, leadership team
3. [builtin.com](https://builtin.com/company/lumilens) – Career page, employee count, year founded, office policy
4. [linkedin.com](https://www.linkedin.com/company/lumilens) – Headcount, funding details, geographic/department breakdown, job trends, talent sources
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/lumilens) – Current job openings (48 listings)

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