[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Generali Group jobs](https://jobs.opennash.com/companies/generali-group/) · [Search jobs](/search/) Generali Group · Trieste # Research Engineer (Physical AI) Trieste Research & Science Listed on Generali Group’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Generali Group’s careers site →](https://gogenerali.com/home/job/ATS-P-4bf36dc6-7b89-4356-bd88-1f055a99e4c2/Research%20Engineer%20%28Physical%20AI%29) [OpenNash Jobs](https://jobs.opennash.com/) / [Generali Group](https://jobs.opennash.com/companies/generali-group/) / Research Engineer (Physical AI) ## Job description Within the Agorai Innovation Hub we are looking for a talented and proactive resource, who will work directly with the AI Architect and Head of Technology, and in close collaboration with external engineering partners. We are building the intelligence layer for autonomous and semi-autonomous systems operating in complex industrial environments. Robotics execution is handled by a partner — the researcher’s job is to make those systems smarter: multi-agent coordination, adaptive decision-making, collective behavior that emerges from local rules. The research direction includes swarm intelligence applied to real industrial problems, not simulations. This role is fundamentally about integration — between research and reality, between AI systems and physical infrastructure, between your work and the engineering teams who own the hardware. You will need to earn technical credibility through the quality of your ideas and the reliability of your implementations. Key responsibilities of the role will include: - Research and prototype multi-agent and collective intelligence approaches applicable to industrial automation — from simulation to integration with real systems - Build the intelligence and coordination layer that interfaces with physical systems and robotic infrastructure — you do not own the hardware, but you need to understand how to talk to it reliably - Design rigorous experiments that validate behavior at the system level, not just the component level — emergent properties require emergent evaluation - Integrate your AI systems with external engineering teams' stacks — this means clean interfaces, honest contracts, and the ability to debug across boundaries you do not fully control - Define evaluation frameworks for collective and adaptive behavior: what does it mean for the system to be working, and how do you know when it is degrading - Stay current with the research frontier in multi-agent systems, swarm intelligence, and autonomous systems — and bring back what is applicable The role is based in Trieste and includes a hybrid work model, offering flexibility through remote working days. ## Qualifications Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering or a related STEM field At least 3-5 years of previous experience in multi-agent systems, autonomous systems, or collective intelligence — academic or industry, but with real implementation behind it, not just theory At least 3–5 years of experience in simulation tools and methodologies to develop and validate approaches before hardware integration Experience in integrating AI systems with physical infrastructure or robotic platforms. Comfortable working with robotic middleware at an operational level ### Technical Skills Fluent across the stack: LLM-based systems, classical ML, APIs, microservices, inference optimization - Strong software engineering fundamentals — your experimental code does not stay experimental forever, and you know when and how to make the transition Comfort working at the boundary of research and engineering: you can run a controlled experiment, and you can write a production service, and you know when each is appropriate Writing production-quality code and hold others to the same standard Soft Skills & Personal Attributes Entrepreneurial mindset: takes ownership, operates with autonomy and drives things forward without waiting for direction - Ability to collaborate with external technical engineering teams - Excellent communication and stakeholder management skills; able to interact effectively with both technical teams and C-suite executives or institutional clients Languages English: Full professional proficiency required (primary working language for international projects and publications) ### Italian Knowledge of Italian is considered an advantage What we offer We offer employment at the VI Professional level with the relevant salary, in accordance with the CCNL ANIA for non-executive employees and the Generali Group Company Agreement. Gross annual salary starting from 50K€. The final offer will be aligned with the candidate’s professional experience, technical and soft skills relevant to the role, and may include an individual variable component. ### We also offer Smart working and flexible hours Corporate welfare system Meal vouchers Supplementary health insurance and discounted insurance policies Wellbeing initiatives Training and development Structured continuous learning paths (technical and managerial) Career development programs Access to learning platforms and internal mobility opportunities ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 31, 2026 - Last checked: Oct 18, 2026 - Listed for: 79 days - Location: Trieste[Apply on Generali Group’s careers site →](https://gogenerali.com/home/job/ATS-P-4bf36dc6-7b89-4356-bd88-1f055a99e4c2/Research%20Engineer%20%28Physical%20AI%29) ## More jobs at Generali Group ### [Research Engineer (Trustworthy AI)](https://jobs.opennash.com/companies/generali-group/jobs/9021da2b0e66aa1ebbdc/) Trieste ### [Anti Financial Crime Intern](https://jobs.opennash.com/companies/generali-group/jobs/e0a9692bfb94a5526100/) Trieste ### [Clients Acquisition Operations Intern](https://jobs.opennash.com/companies/generali-group/jobs/18e7cfb3311d6b4e1a92/) Trieste ### [Consulente Assicurativo - Provincia di Trieste](https://jobs.opennash.com/companies/generali-group/jobs/a0f625e62848487ff75f/) Trieste ## Similar jobs at other companies ### [Senior Research Scientist – Physical AI (f/m/d)](https://jobs.opennash.com/companies/siemens/jobs/84458293d5e6c073590f/) Siemens ### [PhD Research Intern, Autonomous Systems and Physical AI Research - 2027](https://jobs.opennash.com/companies/nvidia/jobs/9e223a6ec50bda790b3e/) NVIDIA · Switzerland, Zurich ### [Physical Design Engineer, Lead Engineer Senior](https://jobs.opennash.com/companies/qualcomm/jobs/116216c143501a01893e/) Qualcomm · Hyderabad, Telangāna, India ### [Physical Verification Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/b425c07305f346d6f001/) Qualcomm · Bangalore, India ### [Physical Design Engineer II](https://jobs.opennash.com/companies/microsoft/jobs/2d7f9c2e826bc117df12/) Microsoft · India, Karnataka, Bangalore OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)