Job Description

Company Overview KLA 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 we invest 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/Division With 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 Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India. Responsibilities Design and develop machine learning software solutions for semiconductor device and thin film metrology Work with both internal and external customers to define requirements for these software solutions Build machine learning-based software solutions Optimize algorithms and prototypical solutions for efficient implementation Design, develop, implement, oversee, and adapt API Extend prototypes into fully functional, polished solutions ready for internal and/or external use Implement solutions in Pythonwith TensorFlow Write comprehensive unit tests and provide technical support during alpha and beta testing Document the design and implementation of the software solutions, and give presentations both internally and externally regarding the work Maintain new and existing software solutions throughout the life-cycle of our tools Preferred Qualifications Strong background in machine learning using regression models and TensorFlow framework Background in software architecture, modern development practices, and design patterns Background in Python or C#, especially in writing production-quality, object-oriented code Background in parallel / distributed computing, performance profiling, and memory optimization Experience in API development is a plus Experience in Azure DevOps is a plus Experience in computational physics and numerical simulations is a plus Experience in semiconductors (electrical properties, manufacturing, and metrology) is a plus Ability and willingness to travel worldwide to support projects at customer sites is a plus Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience Master\'s Level Degree and related work experience of 3 years Bachelor\'s Level Degree and related work experience of 5 years

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