Process Enginee AI / Machine Learning / Deep Learning
Pubblicato il 26-10-2026 - Applied Materials Europe in Treviso
ph3Who We Are /h3 pApplied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting‑edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.
If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. /p h3Location /h3 pTreviso, ITA /p h3What We Offer /h3 pYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
At Applied
Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. /p h3Process Engineer Position /h3 pAs a Process Engineer, you'll play a crucial role in designing and optimizing manufacturing processes for display and semiconductor manufacturing technologies. You will collect and analyze data, perform hardware characterization, and troubleshoot engineering issues.
You'll also measure film properties, generate technical documentation, and engage with customers to resolve concerns.
Process
Engineers collaborate with vendors and suppliers, and become familiar with implementing new technologies and products. You will experiment, learn, and collaborate with some of the brightest minds in the semiconductor and display industries, partnering with our globally recognized RD teams on state‑of‑the‑art research and development projects. /p pWe are looking for a bProcess Engineer /b passionate about bArtificial Intelligence /b and bMachine Learning /b to join our RD team within the Metrology Department. /p h3Key Responsibilities /h3 ul liDevelop and integrate AI‑driven techniques for image analysis, defect detection, data modeling, and signal processing in high‑tech applications for the Photonics Industry. /li liDesign and implement software solutions for machine vision systems and vision‑based inspection. /li liDefine experimental methods for performance evaluation (e.g., detection precision, algorithm repeatability, reproducibility, sensitivity, failure analysis).
/li liPerform hands‑on testing and debugging with vision systems to validate algorithms and ensure reliability. /li /ul h3Qualifications /h3 ul liDegree in ICT, Computer Science, Electronic Engineering, Automation Engineering, Software Engineering, Mechanical Engineering, AI Automation Engineering, Cybersecurity, Physics, Mathematics, or similar. /li liStrong theoretical background in machine vision, image processing, or software development. /li liKnowledge of optics is a plus. /li liWillingness to travel. /li liProgramming skills in C++, C# (other languages are a bonus). /li liSoft skills: autonomy, teamwork, proactivity. /li /ul h3Benefits /h3 ul liContract stability and long‑term career opportunities /li liProfessional growth paths and continuous learning /li liA high‑tech environment in constant evolution /li liInteraction with local and international teams /li liMeal vouchers and comprehensive corporate welfare program /li liSupplementary health insurance, accident and life coverage /li liEmployee Stock Purchase Plan (ESPP) /li /ul h3Additional Information /h3 ul liTime Type: Tempo pieno /li liEmployee Type: Assignee / Regular /li liTravel: Yes, 20% of the Time /li liRelocation Eligible: No /li /ul pApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. /p /p