DL Applications Engineer

Job Description/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 :
Masters 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; Masters Level Degree and related work experience of 3 years; Bachelors 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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