Senior Full Stack Software Engineer

Labric, Inc.; San Mateo (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Labric, Inc. in San Mateo, California is seeking a Software Engineer to build core data infrastructure and develop cross-experimental software tools. Candidates should have over 4 years of software engineering experience, strong skills in Python and TypeScript, and a deep understanding of database management.

The role offers a competitive salary range of $180K - $240K with potential salary/equity flexibility. Work visas will be considered on a case-by-case basis.

Qualifications

• 4+ years of software engineering experience.
• Strong knowledge of Python and TypeScript.
• Deep understanding of databases, including their internal workings.
• Ability to solve problems independently from end to end.
• Interest in scientific operations and lab processes.
• Experience with scientific data is optional.

Responsibilities

• Build core data infrastructure: ingestion, normalization, storage, indexing.
• Ship across the stack using Python backend and TypeScript/Next.js frontend.
• Design schemas to make heterogeneous lab data queryable.
• Collaborate with scientists to solve domain problems with software.
• Ensure reliability while balancing quality vs. speed.

Skills

Python

TypeScript

Problem solving

Database knowledge

Curiosity about science

Education

Computer Science degree or equivalent

Tools

Django

Next.js

GCP

SQL

Job description

Effective use of AI will transform scientific research, but most lab data is stuck in silos. Scientists can't ask basic questions across their own experiments. Even the best tools can't help with what they can't see.

Labric builds the missing layer. We connect instruments, spreadsheets, and other data sources to a central platform, transforming data into useful visualizations and metrics. Scientists use it for cross-experimental analysis, visibility into colleagues' work, and application of the latest AI models.

We're working with companies, academic labs, and DOE national labs, and demand is outpacing our team. This is a rare chance to rebuild the tools the world's best scientists use to create tomorrow's technology.

The work

• Build core data infrastructure: ingestion, normalization, storage, indexing
• Ship across the stack (Python backend, TypeScript/Next.js frontend)
• Design schemas that make heterogeneous lab data queryable
• Work with scientists to turn domain problems into working software
• Own reliability and make good tradeoffs on quality vs. speed

You

• 4+ years of software engineering experience
• Strong in Python and TypeScript
• Know databases deeply (not just how to use them, how they work)
• Comfortable independently solving problems end-to-end
• Curious about science and how labs actually operate
• CS degree or equivalent
• [optional] Have experience with scientific data, Django, Next.js, GCP, SQL, early-stage startups

Competitive base with flexible salary/equity split. ($180K - $240K, 1.00% - 3.00%)

Work visas will be considered on a case-by-case basis.

The pay range for this role is:

180,000 - 240,000 USD per year (San Mateo, California)