Machine Learning / AI Algorithms Engineer

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. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. 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.

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. 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.

Responsibilities

• Design and develop 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 Python with 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

Minimum Qualifications

• BS in Computer Science or related computational field with at least 2 years of experience or MS in Computer Science or related computational field
• Hands-on experience in machine learning and TensorFlow framework
• Hands-on experience in object-oriented programming

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