Runtime Architect for Co-Designed AI Accelerators
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Inria Bordeaux seeks an engineer to develop and optimize a runtime system for machine learning chains, focusing on performance and energy efficiency through close collaboration with hardware and software teams.
The role will advance a co-designed runtime that integrates with CAMELIA's software stack, validating software in CI, documenting the work, and ensuring interoperability across components and configurations.
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Engineer F/M
Il y a 2 jours
Bordeaux, Nouvelle-Aquitaine, France HiPEAC Temps plein 45 000 € - 70 000 € ContratThe CAMELIA program (Hardware and Software Components for Advanced AI Accelerators) focuses on developing scalable, modular AI acceleration components and their associated software environment. It aims to create specialized accelerators that target key functions for executing AI models, using a joint hardware/software/application co-design approach....