What you will be doing:
- Develop sophisticated traditional and AI-based image restoration algorithms for wafer inspection and review.
- Craft and develop groundbreaking deep learning algorithms for defect detection and classification.
- Integrate traditional computer vision with deep learning techniques to build and deploy robust end-to-end solutions.
- Collaborate with application engineers and customers to craft, develop, and productize solutions at customer sites.
- Support the adoption of eBeam solutions at customer sites across the globe.
- Implement system-level solutions to improve sensitivity in semiconductor inspection and review systems.
Qualifications:
- New college graduate with a PhD or Master's degree (preferred candidates from EE, CS, and Mathematics backgrounds).
- In-depth knowledge of deep learning-based computer vision and image processing techniques.
- Experience with transformer architecture, diffusion models, and generative adversarial networks.
- Advanced knowledge of deep learning with working experience in TensorFlow, PyTorch, TensorRT, etc.
- Proficiency in Python, C++, and object-oriented design.
- Great teammate with good written and verbal communication skills.
- Optional: Experience with CUDA and GPU optimization.
Minimum Qualifications
New college graduate with a PhD or Master's degree (preferred candidates from EE, CS, and Mathematics backgrounds).