Process Enginee AI / Machine Learning / Deep Learning (Treviso)

Process Enginee AI / Machine Learning / Deep Learning (Treviso)

03 ott
|
Applied Materials
|
Treviso

03 ott

Applied Materials

Treviso

h3Who We Are /h3 /brpApplied 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 /brh3What We Offer /h3 /brpSalary: €30,400.00 - €41,800.00 Location: Treviso,ITA /p /brpYou’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. Visit our Careers website to learn more. 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. Learn more about our benefits. /p /brpAs 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. We are looking for a Process Engineer passionate about Artificial Intelligence and Machine Learning to join our RD team within the Metrology Department. /p /brh3Key Responsabilities /h3 /brul /brliDevelop and integrate AI-driven techniques for image analysis, defect detection, data modeling, and signal processing in high‑tech applications for the Photonics Industry. /li /brliDesign and implement software solutions for machine vision systems and vision‑based inspection. /li /brliDefine experimental methods for performance evaluation (e.g., detection precision, algorithm repeatability, reproducibility, sensitivity, failure analysis). /li /brliPerform hands‑on testing and debugging with vision systems to validate algorithms and ensure reliability. /li /br /ul /brh3What We’re Looking For /h3 /brul /brliDegree in ICT, Computer Science, Electronic Engineering, Automation Engineering, Software Engineering, Mechanical Engineering, AI Automation Engineering, Cybersecurity, Physics, Mathematics, or similar. /li /brliStrong theoretical background in machine vision, image processing, or software development. /li /brliKnowledge of optics is a plus.



/li /brliWillingness to travel. /li /brliProgramming skills in C++, C# (other languages are a bonus). /li /brliSoft skills: autonomy, teamwork, proactivity. /li /br /ul /brh3What We Offer /h3 /brul /brliContract stability and long‑term career opportunities /li /brliProfessional growth paths and continuous learning /li /brliA high‑tech environment in constant evolution /li /brliInteraction with local and international teams /li /brliMeal vouchers and comprehensive corporate welfare program. /li /brliSupplementary health insurance, accident and life coverage /li /brliEmployee Stock Purchase Plan (ESPP) /li /br /ul /brh3Additional Information /h3 /brul /brliTime Type: Full time /li /brliEmployee Type: Assignee / Regular /li /brliTravel: Yes, 20% of the Time /li /brliRelocation Eligible: No /li /br /ul /brpThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job‑related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target premio amount at 100% goal achievement. /p /brpApplied 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 #J-18808-Ljbffr

📌 Process Enginee AI / Machine Learning / Deep Learning (Treviso)
🏢 Applied Materials
📍 Treviso

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