Experienced – AI Hardware Engineer
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* modalità ibrida
* range retribuzione lordo annuo
* inquadramento CCNL Terziario Distribuzione e Servizi
* valutazione profilo per definire compenso
* inclusività e WorldImpact Responsabilità
* Sviluppare e ottimizzare codice CUDA per GPU NVIDIA
* Implementare algoritmi di machine learning su GPU per training accelerato
* Progettare e implementare circuiti FPGA per inference acceleration
* Lavorare con TensorRT per ottimizzazione di modelli deep learning
* Contribuire a ricerca su hardware-software co-design per AI Requisiti fondamentali
* Laurea in discipline STEM o correlate (Ingegneria Informatica, Elettronica, Automazione)
* Competenze in Python e C++ per GPU programming
* Familiarità con CUDA, TensorRT e GPU computing
* Conoscenze di Verilog/VHDL per FPGA design
* Nice to have: Certificazioni NVIDIA CUDA, AWS Trainium, GCP TPU
* Esperienza con distributed training e hardware optimization
* Python
* C++
* CUDA
* TensorRT
* GPU computing
* Verilog/VHDL
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