Junior Project Engineer
Pubblicato il 30-08-2026 - Caracol AM in Italia
At Caracol, we’re not just changing the game: we’re redefining the rules of the manufacturing world and expanding the boundaries of what’s possible.
Since our foundation in Milan, Italy, in 2017, we’ve been on a mission to revolutionize Advanced Manufacturing. By pioneering cutting-edge technology, we tackle the most complex challenges across sectors – from aerospace to marine, from energy to design and architecture.
Our solutions combine advanced robotics with additive manufacturing, enabling high-performance, large-scale production with unmatched efficiency and sustainability.
Central to our innovation are our flagship platforms Heron AM , for 3D printing of large-scale composite parts and Vipra AM , to produce large-scale metal components, and the Eidos Manufacturing Software Suite.
With Europe’s largest LFAM production center, a facility in Austin, TX, and an office in Dubai, Caracol operates on a truly global scale where innovation, collaboration, and passion drive everything we do.
Join Caracol and be part of a diverse,
talented team pushing the boundaries of additive manufacturing and shaping a more sustainable future
As a Junior Project Engineer, you will play an active role in shaping Caracol’s advanced engineering projects, contributing to the development and implementation of customized, high-impact solutions for complex industrial applications.
You’ll work side by side with our R&D; team, transforming ideas into real systems, from early design to on-site commissioning. Your activities will include defining technical layouts, producing detailed engineering documentation, and supporting the integration of bespoke configurations that embody our commitment to innovation, precision, and quality.
Support the development of technical layouts and engineering documentation
Translate customer requirements into clear technical deliverables, under the supervision of senior engineers.
Collaborate with suppliers and partners to collect technical data, evaluate feasibil