Algorithm Engineer (R&D), Singapore

Company Overview 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.
Job
Description/Preferred
Qualifications Responsibilities: The job focuses on the development of image and signal processing algorithms for the next generations of optical inspection and metrology systems. The responsibilities of this position covers the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support. Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.
Requirements: Ph.D. or Master Degree holder in Electrical Engineering, Computer Science and Physics with strong experience in algorithm development is preferred.
The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including texture analysis, deep learning, image segmentation, feature extraction, classification, statistical data analysis, signal processing, filter theory.
Experience in any one of the following areas is a big plus: algorithm performance optimization, CUDA programming, parallel computing, distributed computing.
Software skills required include C/C++, OOD/OOP, MATLAB and/or Python.
The candidate needs to be a self-motivated individual with ability to work independently and/or in a team. Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.
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
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