Job Description

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The ICOS Vision Systems division focuses on the backend of the line semiconductor industry providing fully automated tools to inspect and sort, finished integrated circuit packages. For more than 15 years, ICOS has been a market leader with tray-to-tray and tray-to-tape inspection and sorting tools found in the production facilities of all major chipmakers in the world. Our market-leading technology and superior customer service requires strong talent in optics, machine control, algorithms and applications within our engineering teams. The ICOS division headquarters are in Leuven, Belgium with additional engineering and manufacturing operations in Singapore and Shenzhen (China).

Job Preferred Qualifications

Your challenge
As a member of the ICOS application team, the deep learning engineer is responsible for providing technical support for the development and deployment of deep learning models at the back-end customer fabrication facilities. The job involves assisting the sales staff with the assessment of potential applications for deep learning and aligning with the customer on a detailed deep learning adoption plan. Once the sales deal has been concluded, the deep learning engineer implements detailed deep learning adoption plan and provides follow-up support.

Responsibilities:
The regional development applications engineer will have the following responsibilities in the team:
•Develop and optimize deep learning models for image analysis, defect detection, and classification in semiconductor manufacturing.
•Collaborate with cross-functional teams including software engineers, hardware engineers, and domain experts to integrate AI solutions into inspection and metrology systems.
•Conduct research on state-of-the-art neural network architectures and apply them to real-world
problems in wafer inspection and yield management.
•Implement scalable training pipelines and manage large datasets from semiconductor tools.
•Evaluate model performance and conduct rigorous testing to ensure robustness and accuracy in
production environments.
•Contribute to publications, patents, and internal knowledge sharing.

Profile :
•Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on machine learning or computer vision.
•Experience with convolutional neural networks (CNNs), transformers, and other modern architectures.
•Knowledge of GPU computing and cloud-based AI model deployment.
•Familiarity with image processing, signal processing, and statistical analysis.
•You are dynamic and like to interact with people
•Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
•Prior experience in the semiconductor industry or high-tech manufacturing is an advantage but not a must.
•Proficient in English with good communication skills
•This is a position based in Taiwan but may require regular travel to customers all over the world.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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