KLA Senior Algorithm Engineer ML + Physics 

United States, California, Milpitas 

836018532

Responsibilities

• Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology
• Work with both internal and external customers to define the requirements for next-generation algorithms to solve leading-edge metrology problems
• Develop numerical models and prototypes (e.g. in Matlab)
• Extend prototypes into fully functional, polished solutions ready for internal and/or external use (e.g. in C++ and/or 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

Preferred Qualifications

• Strong background in computational physics and numerical simulations
• Strong background in machine learning using regression models and TensorFlow framework
• Strong background in software architecture, modern development practices, and design patterns
• Strong 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 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

• PhD in Computer Science or related computational field with at least 3 years of experience or
• MS in Computer Science or related computational field with at least 5 years of experience
• Hands-on experience inmachine learning and TensorFlow framework
• Hands-on experience in object-oriented and functional programming