Software Engineer - LatchBio

We released the first rigorous benchmark suites for biology agents. They contain hundreds of real-world problems drawn directly from industry workflows. Our research shows that harness design - the tools, prompts, and control flow around a model - moves outcomes as much as swapping the base model itself. This insight is reshaping how frontier labs think about building with AI.

We've grown revenue 6x in the past 12 months. We have a repeatable sales process and deep partnerships with 10X Genomics, Vizgen, Takara Bio, and AtlasXOmics. More importantly: we have more demand than we can meet. That's why we're scaling rapidly across engineering. We're building benchmarks across omics, therapeutics, and surveillance. We need engineers to build the infrastructure that powers our benchmarking pipeline - data ingestion, eval design, grading systems, and infrastructure. Work with scientists and frontier models. Ship fast.

Here is a sample of engineering products we work on

Agent harness integrated with bio first tooling such as an in-house h5ad and genomics viewer

Distributed file-system with metadata on Postgres and blobs on S3

Cluster orchestrator designed to accept compute nodes from anywhere on the internet

Reactive Python-based notebooks for data analysis and visualization

Benchmarking harness with automated QC processes to validate and probe model failure cases

About this role

You will be working on problems in software including but not limited to agent infrastructure and systems, model benchmarking at scale, full stack web development, developer and user experience, and process optimization. You will work on a small team and have control over the direction you take and problems you tackle. You may work on scaling and improving a large scale internal benchmarking platform, planning and delivering features to improve quality and speed, and supporting ever evolving customer requirements and difficult computational tasks. Where appropriate, your work may dip into research for agentic biology.

Signs of strong fit

Interest in computer systems and their inner workings e.g. compilers, operating systems,

databases, distributed systems, programming language theory

Designed and shipped products that people love

Ability to apply process or systems engineering approach to tooling and data systems

How we work

We care about output and let people optimize their work in a way that works for them. Our engineering team is in-person in San Francisco. We run a daily standup where engineers talk through technical challenges and stay aligned on what matters most. You will own a product area and execute, working closely with seasoned Latch engineers, product managers, and designers. Mentorship happens through code review and working through hard problems together.