Data Engineer
CuspAIVisit CuspAI website
CuspAI is an AI-for-science company developing an AI platform for targeted materials discovery.
Cambridge, United Kingdom
Funding history
About CuspAI
CuspAI combines generative AI, high-fidelity simulation, synthesis planning, and laboratory validation to develop novel materials for applications including semiconductors, energy, water purification, and climate technology.
Skills
About the Role
You will build scalable data-ingestion pipelines and tooling for scientific users. You will collect, clean, standardise, tag, and monitor chemical datasets; integrate laboratory and computational sources; and collaborate with scientists and ML researchers to support training, inference, and materials-discovery experiments.
Requirements
- 3+ years of data engineering experience
- Python
- Database management
- Large-scale data processing
- Workflow orchestration
- Airflow
- Prefect
- Dagster
- Flyte
- Docker
- Kubernetes
- CI/CD
- Complex dataset handling
- DevOps
Responsibilities
- Design and build data pipelines for materials-science datasets, experimental results, and computational chemistry outputs
- Integrate materials databases, literature, patent filings, and laboratory instruments
- Create automated workflows for crystallographic data, molecular structures, and materials properties
- Build scalable systems for computational chemistry calculations and experimental data
- Implement automated data-quality checks with scientists
- Build monitoring systems that maintain data integrity
- Integrate laboratory automation systems and computational chemistry software
- Support real-time data needs for AI-driven materials-discovery experiments
Benefits
- Equity in CuspAI
- 28 days holiday in DE, NL, and UK or 21 days holiday in JP, SG, and US, plus local public holidays
- 26 weeks of fully paid parental leave for primary caregivers and 12 weeks for secondary caregivers