Company OverviewKLA 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 in 2019 we invested 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.
Group/DivisionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA’s Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.
Responsibilities:

  • Design, develop, integrate, and maintain architecture and software features for CIRCL platform
  • Work with other team members to evaluate, test and select data infrastructure technologies, implement and maintain them
  • Provide technical leadership and be able to support detailed analysis and tradeoffs for the various solutions
  • Collaborate with teams across different geographical zones to develop / deliver software solutions
  • Work across groups including systems/hardware, marketing, applications, and manufacturing on all aspects of SDLC
  • Understand, champion, and enforce software development best practices.
  • Travel to other KLA sites and customer sites on a needed basis

Basic requirements:

  • Technical expertise in programming languages (C#, C++ , Java, Python)
  • Excellent software design/implementation capabilities
  • Strong understanding of data structures and algorithms
  • Good communication and interpersonal skills
  • Motivated to learn new skills independently
  • Creative thinker with good problem-solving abilities

Desired:

  • Strong understanding of data processing and data storage technologies
  • Proficient in SQL and/or NoSQL Database systems
  • Experience with the following technical areas
    • Web development (HTTP, REST, JavaScript, gRPC)
    • Cloud technologies for storage, containerization and compute clusters
    • Distributed computing principles
  • Experience in handling and processing huge volumes of data and Knowledge of Data Engineering frameworks & practices
  • Ability to develop Software with Clean Code and SOLID principles
  • Proven experience in debugging large complex software

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