Scientific Software Engineer Lab Integration

Skills

About the Role

You will build and operate the software systems that connect AI-generated experiment requests with partner laboratories. You will develop reliable lab-to-cloud integrations, create APIs and data models, integrate laboratory instruments and systems, and deploy secure, scalable cloud services. You will also support the technical onboarding of lab partners and co-design workflows with scientists and engineers.

Requirements

• Lab automation, self-driving lab, or scientific discovery workflow experience
• Production backend software engineering experience
• Python
• API design
• Distributed systems
• API integration
• Message queues
• Event-driven architecture
• Data contracts
• Security practices for externally facing systems
• Communication with experimental scientists, optimisation experts and engineers

Responsibilities

• Design, build and operate services that send experiment requests to partner labs and return results to the platform
• Build APIs and data models for bidirectional lab-to-cloud data exchange
• Integrate lab instruments, robotic platforms, LIMS and ELN systems, and scheduling software
• Make integrations reliable through idempotency, retries, queueing, monitoring and alerting
• Support the technical onboarding of new lab partners
• Co-design workflows with materials scientists, optimisation experts and engineers
• Deploy and operate containerised cloud services with testing and CI/CD

Benefits

• Equity in CuspAI
• 28 days holiday in Germany, the Netherlands and the UK, or 21 days holiday in Japan, Singapore and the US, plus local public holidays
• 26 weeks of fully paid parental leave for primary caregivers and 12 weeks for secondary caregivers
• Professional development budget