Job Description/Preferred Qualifications
Must have Qualifications
Deep proficiency in core programming concepts, with hands-on expertise in Java, Python, or C++
Strong background in object-oriented design (OOD) and multi-threaded application development
Demonstrated experience in full-stack web development, specializing in microservices architecture, performance optimization, and security best practices
Solid understanding of data structures and algorithms
Practical experience with Kubernetes and designing scalable microservices
Excellent analytical, problem-solving, and organizational skills, with strong communication abilities (both verbal and written)
Ability to bridge theoretical concepts and real-world implementations
Experience managing the full product development lifecycle, from concept to deployment
Experience designing and deploying ML/DL pipelines for training, inference, validation, and monitoring is a plus
Technical leadership or mentoring experience is a plus
Exposure to computer vision, signal processing, or time‑series analysis, particularly for high‑volume or high‑resolution data is a plus
Responsibilities
Design, develop, and maintain ML/DL‑based software solutions & big-data analysis for large, complex semiconductor systems
Apply machine learning and deep learning techniques to semiconductor metrology, inspection, yield analysis, defect classification, and process optimization
Collaborate with globally distributed teams, including hardware, optics, algorithms, and systems engineers, to deliver high‑impact AI solutions
Analyze and resolve complex system‑level issues spanning software, ML models, data quality, and hardware interactions
Drive model performance tuning, robustness, and explainability to meet manufacturing and customer requirements
Identify root causes of product or process variability and propose innovative ML‑driven solutions
Support technology transfer from research and prototyping to high‑volume manufacturing environments
Travel to other company sites and customer locations as required to support deployment, debugging, and adoption
Participate in end‑to‑end product development lifecycle activities, from design through deployment and support
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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