Software Engineer - Full Stack

Arcadia Science•Emeryville, CA

15d•$160,000 - $195,000•Onsite

About The Position

Arcadia Science is seeking a software engineer to join their team. This role involves building web applications and data infrastructure to connect scientists and streamline research workflows. The engineer will partner with bench scientists to understand their needs, develop internal tools, and contribute to data infrastructure. A portion of the role will focus on the Foundry division, specifically building the software layer for AutoOpenRaman, an open-source automated Raman spectrometer. This includes developing a scientific user interface and a data pipeline for spectral analysis. The ideal candidate will have experience building products from scratch in fast-paced environments, possess strong product instincts and technical skills, and be eager to collaborate with scientists. A biology degree is not required, but curiosity and a willingness to learn about science are essential. This is an onsite position at their Emeryville headquarters.

Requirements

Hands-on experience building products from scratch in fast-moving environments, with a track record of shipping software that non-engineers actually depend on
Experience designing and shipping user interfaces for scientific or technical workflows, with genuine care for the non-engineer end user: clean layout, clear state, graceful error handling
Proficiency in Python and TypeScript; comfortable owning both backend services and frontend applications
Experience building data pipelines for scientific data: ingestion, transformation, QC, and structured storage
Ability to work directly with bench scientists to develop deep empathy for their workflows and translate that understanding into software that fits how they actually work
Deep AI literacy: you actively use AI tools in your own development workflow, you have strong opinions about which tools and approaches work, and you understand the architecture of agentic systems well enough to build and maintain them, not just call an API
Demonstrated experience building with AI: using LLMs, agents, or AI-assisted development tools to meaningfully expand what you can ship and maintain

Nice To Haves

Experience building software for scientific instruments or laboratory hardware
Background or coursework in evolutionary biology, molecular biology, or bioinformatics
Contributions to open-source scientific software projects
AI literacy
Build and maintain a team of agents requiring more than familiarity with AI tools: you should be current on the state of coding agents and LLM-assisted development, have opinions on which approaches are production-ready, and be able to make architectural decisions about when to build agentic workflows and when not to. We expect you to stay current as the field moves.

Responsibilities

Partner with researchers and product designers to identify high-impact problems, then architect and ship solutions through rapid iteration cycles
Design, develop, and maintain Arcadia's internal product suite using modern web technologies, building for scalability, performance, and a user experience that works for scientists
Build and improve data infrastructure that supports biological research workflows, from ingestion and transformation to exploration and visualization
Design and ship a scientific user interface purpose-built for bench scientists, intuitive sample management, run configuration, live acquisition feedback, and results review.
Build and maintain agentic AI workflows that expand the team's capacity: automating data QC, interpretation, report generation, and other repeatable analytical tasks
Own the full lifecycle of your work: scoping, implementation, testing, deployment, monitoring, and ongoing maintenance