Distributed Systems Engineer - High-Performance Platforms

KLA

Milpitas (CA)

Sur place

USD 115 000 - 195 000

Plein temps

Il y a 32 heures
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Avantages offerts par ce poste

Medical insurance
Dental insurance
Vision insurance
401(K) matching
Employee stock purchase program (ESPP)
Tuition reimbursement

Résumé du poste

KLA is hiring in Milpitas, CA. You will work on high-impact software projects across inspection, metrology, and analytics systems used in semiconductor manufacturing. The role welcomes both early career and experienced professionals, emphasizing learning, collaboration, and innovation.

You will engage with Java, C++, C#, Python, and JavaScript across systems and web clients, applying design patterns and robust data structures to solve complex problems in a fast-paced environment.

Qualifications

  • Master's Degree and 0 years related work experience; Bachelor's Degree and related work experience of 2 years.
  • Proficient in Java, C++, and scripting languages; strong understanding of data structures and algorithms.

Responsabilités

  • Deliver high-impact work across your area of expertise.
  • Contribute to software design and architecture reviews.
  • Implement and optimize features across Java, C#, C++, Python, and JavaScript.
  • Leverage knowledge of design patterns and data structures to improve performance.
  • Communicate effectively within cross-functional teams and mentor peers.

Connaissances

Java
C++
C#
Python
JavaScript
Design patterns
Data structures
Algorithms
Open source
Communication skills
Independent learner

Formation

Master's Degree
Bachelor's Degree

Outils

Git

Description du poste

KLA is hiring in Milpitas, CA. You will work on high-impact software projects across inspection, metrology, and analytics systems used in semiconductor manufacturing. The role welcomes both early career and experienced professionals, emphasizing learning, collaboration, and innovation.

You will engage with Java, C++, C#, Python, and JavaScript across systems and web clients, applying design patterns and robust data structures to solve complex problems in a fast-paced environment.

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