Scientific Data Services Engineer – AI & HPC
Core
Engineer solutions to expose terabytes to petabytes of scientific data to users and AI models, focusing on data ingestion, indexing, and search.
Role type
Scientific Data Services Engineer (AI & HPC)
Builds
Highly-usable web applications and high-performance APIs for data access
Domain
Scientific computing, AI for science, High-Performance Computing (HPC)
Required skills
Python, C/C++, data management frameworks (e.g., OpenMetadata), Kubernetes, HPC environments, version control (git), software maintenance
Preferred skills
scientific data domain experience, parallel filesystems, data service optimization, API security
Technologies
Python, C/C++, OpenMetadata, Kubernetes, git
Responsibilities
Structure scientific data efficiently for search, expose data via web applications and APIs, collaborate with science application teams, support data ingestion and indexing workflows
Seniority
Mid-Senior, hands-on IC
