Process Enginee AI / Machine Learning / Deep Learning

Who We Are

Applied 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. 

What We Offer

Location:

Treviso,ITA

You’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. 

 

 

As 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 R&D 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 R&D team within the Metrology Department.

Key Responsabilities

• Develop and integrate AI-driven techniques for image analysis, defect detection, data modeling, and signal processing in high-tech applications for the Photonics Industry.
• Design and implement software solutions for machine vision systems and vision-based inspection.
• Define experimental methods for performance evaluation (e.g., detection precision, algorithm repeatability, reproducibility, sensitivity, failure analysis).
• Perform hands-on testing and debugging with vision systems to validate algorithms and ensure reliability.

What We’re Looking For

• Degree in ICT, Computer Science, Electronic Engineering, Automation Engineering, Software Engineering, Mechanical Engineering, AI & Automation Engineering, Cybersecurity, Physics, Mathematics, or similar.
• Strong theoretical background in machine vision, image processing, or software development.
• Knowledge of optics is a plus.
• Willingness to travel.
• Programming skills in C++, C# (other languages are a bonus).
• Soft skills: autonomy, teamwork, proactivity.

What We Offer

• Contract stability and long-term career opportunities
• Professional growth paths and continuous learning
• A high-tech environment in constant evolution
• Interaction with local and international teams
• Meal vouchers and comprehensive corporate welfare program.
• Supplementary health insurance, accident and life coverage
• Employee Stock Purchase Plan (ESPP)

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 20% of the Time

Relocation Eligible:

No

Applied 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.