1 day ago
Shanghai, ChinaEntry Level
Responsibilities
- Research, develop, prototype, evaluate, and productize algorithms for image and signal processing, geometry pattern handling, high-performance computing, and machine learning.
- Develop, integrate, debug, and unit-test C++ software on Linux.
- Analyze big data, design software architecture, and perform data mining.
- Collaborate with global teams to identify, analyze, solve, and validate solutions.
- Follow KLA’s software development process and write design and development documentation in English.
- Travel globally for short-term customer support and training.
Requirements
- Master’s degree in computer science, computer engineering, electrical engineering, mathematics, physics, or a related technical field, or a bachelor’s degree with two years of related work experience.
- Background in at least one of image processing, signal processing, computer vision, pattern recognition, computational geometry, data analysis, high-performance computing, or machine learning.
- Experience with C, C++, and Python coding.
- Skills in algorithm design, software development, and debugging.
- Ability to independently identify, analyze, and solve problems.
- Fluent English and strong communication and teamwork skills.
- Ability to travel globally.
- Knowledge of optics and semiconductor processes is a plus.
Benefits
- Competitive, family-friendly total rewards package.
- Inclusive work environment and benefits designed to meet diverse employee needs.
- Global travel is required for short-term customer support and training.
Categories
About KLA
KLA builds process control, inspection and metrology systems used to manufacture semiconductor wafers, reticles, advanced packaging, printed circuit boards, and displays, and sells related software and services to chipmakers and electronics manufacturers. Its business model centers on capital equipment sales plus service and support contracts. Headquartered in Milpitas, California, KLA traces its origins to the 1997 KLA-Tencor merger and is publicly traded on NASDAQ under the ticker KLAC.