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Algorithms Engineer - High-Performance Geometry & Optimization

kla · Yavne

New
Senior 🇬🇧 English
CUDA Computational Geometry Graph Algorithms Optimization Machine Learning Windows Linux

Job description

About the role

KLA, a leader in inspection tools, metrology systems and process solutions for semiconductor manufacturing, is hiring an Algorithms Engineer for its Algorithms team. The role focuses on designing, developing and maintaining mathematical infrastructures and algorithmic applications that power Frontline, a CAM software for PCB manufacturing. It suits both early-career professionals and experienced engineers.

Key responsibilities

  • Design and implement algorithmic solutions according to product requirements, owning the full development cycle from concept to production integration.
  • Develop and maintain mathematical and computational geometry infrastructures used across Frontline products.
  • Analyze performance bottlenecks and optimize algorithms for scalability, memory consumption and execution time.
  • Collaborate with software engineers, architects, product managers and domain experts, taking part in design discussions and architecture reviews.
  • Evaluate new algorithms, techniques and technologies, support troubleshooting and root-cause analysis of complex product issues, and work as a team member.

Required profile

  • B.Sc. in Computer Science, Mathematics, Software Engineering or a related field; M.Sc. or higher is a plus.
  • At least 5 years of proven experience in algorithm development within a software product company.
  • At least 5 years of C/C++ development experience.
  • Deep understanding of data structures, algorithms and software architecture.
  • Experience with large-scale software systems and code bases, and good written and verbal English.

Required skills

  • C/C++ programming.
  • Computational geometry, graph algorithms, optimization techniques and mathematical modeling.
  • Parallel computing, multicore optimization and performance-critical applications.
  • GPU acceleration technologies such as CUDA.
  • Machine Learning or AI technologies and their integration into commercial products.
  • High-performance native applications on Windows and Linux.

The company offers a competitive, family-friendly total rewards package and is an equal opportunity employer.

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Source : ats:workday

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Published 2 hours ago

Expires 1 month from now

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kla

Yavne