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.
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Scientific Software Engineer (Lab Integration) employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
