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Senior Image Processing Software Engineer

amat · Rehovot

جديد
Senior 🇬🇧 English
Python CUDA Profiling tools CI/CD

وصف الوظيفة

About the role

Applied Materials is looking for an experienced Senior Software Engineer with expertise in real-time image processing algorithms for its Image Processing Software and Algorithms team. The role sits within the R&D group of a new product, developing the next-generation software and algorithms for metrology and inspection systems. You will join a team of software and algorithm engineers and own the architecture, design and implementation of real-time image processing algorithms running on a distributed system, working at the intersection of application software development and algorithms.

Key responsibilities

  • Own project-level design for complex, stateful algorithmic workflows.
  • Design, optimize and implement image processing algorithms and workflows.
  • Work with algorithm engineers to improve algorithms and adapt them to real-time operation.
  • Run performance analysis and benchmarks, using profiling tools to profile algorithms across computers and devices.
  • Apply data science methods to real measurement data: design experiments, analyze results and quantify system performance with sound metrics.
  • Collaborate with application software developers and system/hardware teams to design and implement software workflows and APIs.

Required profile

  • B.Sc. in Computer Science, Engineering or a related field, or equivalent industry experience.
  • Nice to have: M.Sc. in CS, Software Engineering, EE or a related field; proven academic, military or professional honors, awards or recognition.
  • Nice to have: electron microscopy or semiconductor equipment experience.

Required skills

  • 8+ years of experience; strong Python and C++.
  • Numerical algorithms and optimization, image processing fundamentals, and familiarity with hardware control or instrumentation software.
  • CPU low-level optimization and GPU data flow optimization with CUDA.
  • Hands-on experience developing both algorithms and supporting frameworks.
  • Performance profiling tools.
  • Solid engineering practices: end-to-end, regression and automated testing, code review, CI/CD.

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Source : ats:workday

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amat

Rehovot