Stage Ingénieur(e) R&D - Développement d'un moteur d'exécution distribué en Python et Rust - Spatial - Toulouse
Core
Develop a next-generation distributed execution engine for scientific and geospatial workflows using Python and Rust.
Role type
Junior IC distributed systems engineer (intern)
Builds
AntFlow, an open-source platform for executing and orchestrating large-scale scientific and geospatial treatments on cloud, Kubernetes, and HPC infrastructures.
Domain
Space data processing, scientific computing, distributed systems
Deliverable
production ML models
Required skills
Python, Rust, distributed systems, real-time performance, cloud native, Kubernetes, Docker, SLURM, Argo Workflows, OpenTelemetry, event-driven architecture, graph management, scalability optimization, open standards (CWL, WDL, OGC API Processes, EOAP)
Preferred skills
None stated
Technologies
Python, Rust, Kubernetes, Docker, SLURM, Argo Workflows, OpenTelemetry
Responsibilities
Design an event-driven execution engine for scientific workflows, manage distributed and dynamic processing graphs, optimize performance and scalability, integrate with Kubernetes and HPC environments, implement open standards, ensure observability and real-time execution tracking
Seniority
Intern, final year engineering student
