Stage : Investigation avancée et automatisée des défaillances de systèmes médicaux - Application médicale / Software & système
Core
Develop a prototype that converts raw technical traces from robustness testing into an evidence-based, explainable, and traceable diagnostic analysis to support engineering reasoning for medical robotic systems.
Role type
Intern, embedded systems failure analysis engineer
Builds
Diagnostic analysis prototype for medical robotic applications
Domain
Medical technology / Embedded systems / Software engineering
Deliverable
production ML models
Required skills
Python, deterministic parsing, temporal correlation, system-level reasoning, RAG architecture, LLM integration
Preferred skills
Embedded systems knowledge, failure analysis experience
Technologies
Python, RAG, LLM
Responsibilities
Ingest, normalize, and synchronize heterogeneous logs; Reconstruct incident timelines and identify earliest anomalies; Extract errors, states, commands, and communication anomalies; Retrieve and rank historical diagnostic cases; Produce engineer-reviewable summaries with source traceability
