Algorithm Engineer (R&D)
Indexed description
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 Surfscan group includes a team of engineers, technology development, apps engineers and product marketing focused on technology that enables wafer, IC and equipment manufacturers to develop, qualify and monitor their process tools. Defects and process non-uniformities detected on Surfscan equipment allow for early identification of yield excursions. The flagship Surfscan products include the SPx platforms for wafer surface quality and wafer defect inspection tools and systems for inspection of polished wafers, epi wafers and engineered substrates during the wafer fabrication process.
Job Description/Preferred Qualifications
Responsibilities:
The job focuses on the development of image and signal processing algorithms for the next generations of optical inspection and metrology systems. The responsibilities of this position covers the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support. Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.
Requirements:
- The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including texture analysis, deep learning, image segmentation, feature extraction, classification, statistical data analysis, signal processing, filter theory.
- Experience in any one of the following areas is a big plus: algorithm performance optimization, CUDA programming, parallel computing, distributed computing.
- Software skills required include C/C++, OOD/OOP, MATLAB and/or Python.
- The candidate needs to be a self-motivated individual with ability to work independently and/or in a team. Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.
- Ph.D. or Master Degree holder in Electrical Engineering, Computer Science and Physics with strong experience in algorithm development is preferred.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search