Posizione: Entry level

Tipo di lavoro: Full-time

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Contenuto del lavoro

Company Overview

Orbotech makes technology accessible. We are a global innovator of enabling technologies used to mass produce the world’s most sophisticated electronics. A leading provider of yield enhancement and production solutions for manufacturers of printed circuit boards (PCB), flat panel displays (FPD) and other electronic components, our solutions are used by manufacturers to bridge the gap between designers’ dreams and the mass production of innovative, next generation electronics in industries including mobile, automotive, high powered computing (HPC), the industry of things (IoT) and more.
  • Implementation of new algorithmic modules, focusing on: state of the art Image processing,
Computational geometry, machine learning & deep leaning algorithms
  • Maintaining, testing and analyzing existing algorithmic components
  • Building simulation and visualization tools
  • Managing python-based infrastructure for running experiments and testing new hypotheses and
DL modules, analyzing the results and deriving data-based conclusions.
  • Work with and maintain large databases involving images and other meta data, discover trends
and patterns in the data and revile core insights to improve the efficiency of the AI-based

systems

Minimum Qualifications
  • M.Sc. / Ph.D. in exact sciences (Computer Sciences, Computer Engineering, Electrical/Electro-
Optical Engineering, Applied Mathematics, Bio-informatics or Physics) from an acknowledged

university
  • 10 years experience (professional / thesis) in Image processing, Computational geometry,
machine learning or deep leaning algorithms
  • Fluent in C/C++ for Windows/Linux, Python
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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Scadenza: 20-12-2024

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