Job Description Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfill your career expectations in a fast-growing organization. You’ll have the opportunity to work
Job Description Summary At Avio Aero, a GE Aerospace company, we invent the future of flight, lift people up, and bring them home safely. We are a world‑leading provider specializing in the design, production, and maintenance
QSENSATO s.r.l. is an Italian innovative startup focused on developing and commercializing atomic-photonic chips for quantum sensing and metrology. By leveraging patented femtosecond laser-written vapor cells (LWVCs) and integrating them with photonic structures, QSENSATO aims to
Mirai is building the first AI‑driven autonomy platform for vessels under 100 ft, combining advanced robotics, sensor fusion, and onboard intelligence to make every boat autonomous, safer, and dramatically easier to operate. Beyond enabling crewed vessels, Mirai
Mirai is building the first AI‑driven autonomy platform for vessels under 100 ft, combining advanced robotics, sensor fusion, and onboard intelligence to make every boat autonomous, safer, and dramatically easier to operate. Beyond enabling crewed vessels,
The CAD/CAM Specialist will work at the Apulia Repair Development Center, part of Avio Aero (GE Aerospace) located in Bari, PUG, IT. Responsibilities Owner of the entire CAD/CAM cycle at the Apulia Repair Development Center, from
Mirai is building the first AI‑driven autonomy platform for vessels under 100 ft, combining advanced robotics, sensor fusion, and onboard intelligence to make every boat autonomous, safer, and dramatically easier to operate. Beyond enabling crewed vessels,
Mirai is building the first AI‑driven autonomy platform for vessels under 100 ft, combining advanced robotics, sensor fusion, and onboard intelligence to make every boat autonomous, safer, and dramatically easier to operate. Beyond enabling crewed vessels,
ABOUT THE ROLE You will join a long-term initiative in collaboration with a globally recognized industry leader. The project focuses on advancing physical AI and multi-fleet management systems , aimed at significantly enhancing the performance and