Research Engineer (Physical AI) (Trieste)

Research Engineer (Physical AI) (Trieste)

04 nov
|
Generali Group
|
Trieste

04 nov

Generali Group

Trieste

Overview In this role you advance the intelligence layer for autonomous industrial systems, collaborating with AI and engineering leaders. You’ll prototype multi-agent and collective approaches and integrate them with robotic platforms and industrial infra. You design robust experiments to evaluate system-level behavior and work across research and hardware teams to deliver real-world impact. The role blends research excellence with production-ready implementations in a hybrid Trieste environment.

Retribuzione / Benefits

Lavoro da remoto and flexible hours Corporate welfare system Meal vouchers Supplementary health insurance Wellbeing initiatives Training and development

Responsabilità

Research and prototype multi-agent and collective intelligence approaches from simulation to real-system integration Build the intelligence and coordination layer interfacing with physical systems and robotics infrastructure Design rigorous system-level experiments to validate emergent behavior Integrate AI systems with external engineering stacks via clean interfaces and contracts Define evaluation frameworks for collective/adaptive behavior and performance degradation Stay current with multi-agent, swarm intelligence, and autonomous systems research and translate to applicable solutions

Requisiti fondamentali

Master's degree or PhD in a STEM field At least 3–5 years of experience in multi-agent systems, autonomous systems, or collective intelligence with real implementations At least 3–5 years of experience in simulation tools/methodologies ahead of hardware integration Experience integrating AI with physical infrastructure or robotic platforms; comfortable with robotic middleware at an operational level Entrepreneurial mindset with autonomous, proactive attitude Strong collaboration with external engineering teams Excellent communication and stakeholder management (tech/UI and executive level) LLM-based systems; classical ML; APIs; microservices; inference optimization Strong software engineering fundamentals; ability to transition experimental code to production Experience at the research/engineering boundary: controlled experiments and production services

📌 Research Engineer (Physical AI) (Trieste)
🏢 Generali Group
📍 Trieste

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