Senior Data Analytics Engineer, Lightmatter

$195-235k

+ Equity

SQL

AWS

Python

Airflow

Jenkins

Snowflake

dbt

Senior and Expert level

Boston

San Francisco Bay Area

Office located in Mountain View, CA

Light-powered AI computing

Open for applications

Light-powered AI computing

201-500 employees

B2BArtificial IntelligenceManufacturingDeep TechMachine LearningScience

Open for applications

$195-235k

+ Equity

SQL

AWS

Python

Airflow

Jenkins

Snowflake

dbt

Senior and Expert level

Boston

San Francisco Bay Area

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceManufacturingDeep TechMachine LearningScience

Company mission

Lightmatter's mission is to build an engine that will power discoveries, drive progress, and redefine what computers and human beings are capable of.

Job

Company

Role

Who you are

Bachelor's degree in Computer Science, Photonics, Data Science, or related Engineering fields
8+ years in data engineering and software development
Strong expertise in SQL and working experience with Snowflake
Advanced experience with data orchestration tools like Dagster or Airflow
Experience in data modeling
Proficiency in Python for general software development (i.e beyond data manipulation)
Experience with AWS Cloud services
Able to integrate DevOps and CI/CD processes, particularly with GitHub Actions or Jenkins
Best practices in the software development lifecycle, including maintaining Development, Quality Assurance (QA), and Production environments

Desirable

Experience in the hardware manufacturing or semiconductor industry
Hands-on experience with Dagster
Experience with serverless architectures using S3, Lambda, SNS, and SQS
Advanced expertise with Snowflake, including data apps, data sharing, Document AI, and AI/ML features
Experience with DBT

What the job involves

We are hiring for our Data Platform team at Lightmatter! The Data Platform team is the central hub for all engineering data at Lightmatter, enabling efficient workflows and decision-making across multiple engineering verticals
Our mission is to integrate and serve data from supply chain, OSATs, and internal engineering activities—both pre- and post-silicon—to support product development and high-volume manufacturing
As part of a small, agile team, you will work across a broad range of responsibilities, from data ingestion and governance to application development and analytics. You’ll play a critical role in designing, developing, and deploying data systems that enable efficient data mining and analysis, improve product design, and enhance operational efficiency
Collaborate with internal engineering teams to understand their needs and translate them into performant, efficient implementations using best-in-class data tools
Architect and implement end-to-end data products, including data ingestion, data modeling, and reporting
Contribute to in-house software frameworks for parametric results extraction from electronics and photonics components
Develop and enforce data governance best practices to ensure security, consistency, and accessibility
Leverage AI tools to enhance data discovery and integrate structured and unstructured data sources

Our take

Neural networks and CPUs are vital to AI solutions, but manufacturers have largely failed to maintain innovation in recent years. Lightmatter solves this problem by offering a next-generation computing platform powered by photonics (light waves).

Lightmatter offers a forward-facing platform for AI-building that acts as an alternative to traditional solutions. It works by replacing wired CPUs with a combination of photonics and new algorithms. Lightmatter's solution is not only faster, but it is considerably more sustainable, and it has the potential to drive the next generation of AI development.

As of 2025, Lightmatter has raised $850 million across six funding rounds and grown to a staggering valuation of $4.4 billion, a testament to growing industry demand for faster, more effective AI-building solutions. Lightmatter currently has three products on the market - Envise, Passage, and Idiom - and is poised to take on the incumbent chiplet industry with a photonics-based alternative.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.2)

Company

Funding (last 2 of 6 rounds)

Oct 2024

$400m

SERIES D

Dec 2023

$155m

SERIES C

Total funding: $822m

Company benefits

Commuter benefit
Happy hour -Spend time together and build friendships
Generous vacation policy and holidays
401(K)
Opportunity to learn from your peers and teach them what you know across electronics, photonics, machine learning, and more

Company HQ

Old Mountain View, Mountain View, CA

Leadership

Nicholas Harris

(CEO & Co-Founder)

Previously worked as an R&D Product Engineer at Micron Technology, and as a Postdoctoral Fellow at MIT.

Thomas Graham

(Co-Founder)

Was an M&A Analyst at Morgan Stanley, and worked as an Agency Business Development Manager at Google.

Darius Bunandar

(Chief Scientist & Co-Founder)

Worked as a Research Collaborator at Caltech, and was a PhD Candidate at MIT.

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