Scientific Software Engineer (Lab Integration)

Location: Hybrid in London, UK, with additional locations in Amsterdam, Netherlands; Berlin, Germany; and Cambridge, UK

Company

hirify.global is a frontier AI company developing materials-discovery technology for energy, clean water, future computing, and carbon capture.

What you will do

• Design, build, and operate services connecting AI agents with partner laboratories and returning experimental results to the platform.
• Build bidirectional lab-to-cloud APIs and data models using technologies such as FastAPI and Pydantic.
• Integrate laboratory instruments, robotic platforms, LIMS/ELN systems, and scheduling software across disparate data formats.
• Improve reliability at scale through idempotency, retries, queueing, monitoring, and alerting across partners and time zones.
• Support technical onboarding of new laboratory partners and assess their systems for repeatable integration.
• Deploy and operate containerized cloud services with testing and CI/CD, collaborating with materials scientists, optimization experts, and engineers.

Requirements

• Hands-on experience with lab automation, self-driving laboratories, or scientific discovery workflows, including instrument control, robotic platforms, or high-throughput experimentation data pipelines.
• Strong software engineering experience building and operating backend services in production.
• Deep fluency in Python, including typed, well-tested code and API design.
• Experience designing distributed systems that integrate with external parties through APIs, message queues or event-driven architectures, and data contracts.
• Solid understanding of security practices for externally facing systems.
• Clear communication and collaborative work across a small, multidisciplinary team of scientists and engineers.

Nice to have

• Experimental laboratory experience in materials science, chemistry, or chemical engineering.
• Experience with workflow orchestration tools such as Dagster, Flyte, or Prefect, or with active learning loops.
• Experience with infrastructure as code such as Terraform and observability tooling.
• Security or compliance experience, including handling partner intellectual property and confidential data.
• Experience working across distributed teams and multiple time zones.

Culture & Benefits

• Hybrid work in the listed UK, Netherlands, or Germany locations within a deeply interdisciplinary environment spanning AI research, computational chemistry, and experimental science.
• Competitive salary, equity in hirify.global, and a professional development budget.
• 28 days of holiday in Germany, the Netherlands, and the UK, or 21 days in Japan, Singapore, and the US, in addition to local public holidays.
• Paid parental leave of 26 weeks for a primary caregiver and 12 weeks for a secondary caregiver.
• Work on materials science, sustainability, and climate-related problems with collaborative researchers and engineers.

Hiring process

• Reasonable interview-process adjustments are available upon request.