Scientific Software Engineer (Lab Integration)

present of AI; Greater London; Ibrido; GBP 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

CuspAI is seeking a Scientific Software Engineer (Lab Integration) to build and operate software that connects an AI materials platform with real laboratories. You will enable experiment requests to be issued and results to return reliably, combining lab automation with solid backend engineering in Python.

You will design APIs, implement distributed services, and coordinate with scientists and partner labs to ensure secure data contracts and reliable integrations.

Competenze

• Hands-on lab automation experience
• Strong backend engineering in Python with typed code
• Experience designing APIs for external partners
• Distributed systems that talk to outside partners

Mansioni

• Build and run software linking AI materials platform to labs.
• Ensure reliable experiment requests and results flow.
• Design secure, scalable APIs and messaging for external partners.
• Collaborate with scientists and engineers on integration design and reliability

Conoscenze

Lab automation

Python backend

API design

Distributed systems

Strumenti

Python 3

REST APIs

Message queues

Descrizione del lavoro

Scientific Software Engineer (Lab Integration)

The role builds and runs the software that links an AI materials platform to real laboratories, so that experiment requests go out and results come back reliably. A strong candidate has hands on lab automation or self driving lab experience plus solid backend engineering in Python, including typed code, API design and distributed systems that talk to outside partners. Clear communication across science and engineering matters, since the work is co-designed with materials scientists and partner labs.

How it fits the AI era

AI agents propose the experiments, but the physical world still runs on instruments, robots and lab software that must be connected and trusted. This role makes that loop real by turning messy partner systems into dependable, secure services, so the human work shifts toward integration design, reliability and onboarding new labs. The judgment about data contracts, security and what a lab can actually deliver stays with people.

How it builds AI experience

The job offers direct exposure to closed loop discovery, where model output drives experiments and results feed back into models. Building that experience means learning how lab instruments, LIMS and scheduling tools exchange data, and practicing reliable API and queue design for external partners. Workflow orchestration and active learning loops are listed as bonuses and are worth building toward.

Worth showing

• Distributed systems integration
• Secure external services
• Cross team communication

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About CuspAI

An AI search engine for new materials that the company says turns a wanted set of physical properties into synthesizable chemical designs in months instead of years of lab trial and error.