Senior Algorithms Tech Lead - Computer Vision & Deep Learning

About the role

Applied Materials Israel's Process Diagnostics and Control (PDC) business unit is looking for a Senior Algorithms Tech Lead in Computer Vision and Deep Learning. The PROVision algorithm team builds eBeam metrology products for PDC and the semiconductor industry, running machine learning, computer vision and image processing solutions on the tool itself. The role owns a major algorithmic flow from concept to the customer's fab and leads a team of algorithm developers.

Key responsibilities

• Own a major PROVision measurement or image-processing flow end to end, from research, design, development and validation to proliferation (e.g., CD and overlay measurement, contour extraction, image quality, distortion and drift correction, denoising, defect-sensitive metrology).
• Provide technical leadership: set direction, write and maintain the work plan, review code and results, and ensure experiment hygiene and reproducibility.
• Lead concept and feasibility work, comparing approaches on precision, accuracy, runtime and memory, and designing for the tool's real constraints.
• Define evaluation metrics and build test harnesses, then drive hand-over to product: Python-to-C++ parity, testing, integration into the recipe flow, documentation and BKMs.
• Work with applications, product, field and customer fab engineers to analyze gaps, collect data and support integration at customer sites.
• Evaluate new technologies and turn relevant ideas into concrete proposals for the flows.

Required profile

• M.Sc. (or above) in exact sciences; Ph.D. is an advantage.
• 4+ years of hands-on algorithm development in Computer Vision, Machine Learning and Deep Learning, with extensive Python coding.
• Proven track record of moving algorithms from research to production.
• Proven professional or technical leadership experience, such as guiding engineers or owning a major module or project; a formal Tech Lead title is not required.
• Ability to work independently on complex problems, strong communication skills with internal and external customers, and fast learning.

Required skills

• Computer Vision, Machine Learning and Deep Learning
• Extensive Python coding
• Advantages: experience in semiconductor, metrology or inspection; C++; algorithms for runtime-constrained or CPU-only environments; multidisciplinary products