Job Description/Preferred Qualifications

We seek a scientist to develop unsupervised machine learning algorithms for anomaly detection in optical inspection images of patterned wafers in semiconductor device fabrication. With continuing scaling in feature sizes, detection of such defects occurs far below the diffraction limit. This demands signal detection against a highly complex background formed by scattering from rough material boundaries. You will develop state of the art in this area with a heavy emphasis on robustness and efficiency as well as rigorous proof of value.

In this role, you will acquire a deep understanding of the data acquisition pipeline in KLA’s optical inspectors. You will investigate the impact of the present hardware and software limitations on sensitivity and identify the opportunities of advancing the platforms’ capabilities through novel detection algorithms. You will collaborate closely with application engineers to develop a rigorous set of performance requirements for high volume manufacturing semiconductor fabs, and strategies to test algorithms against these requirements. You will work with the application and field engineers to execute the testing at a large scale and prove the value for productization.

Education Requirements:

PhD in a quantitative discipline, preferably in physics, statistics, machine learning.

Required technical skills:

• Design and execution of experiments with large scale data.
• Probability modeling in both classical statistics and machine learning.
• Clustering algorithms and understanding of their complexity.
• Experience with deep generative models.
• Image processing, optimization, segmentation, and Fourier analysis.
• Expert in: MATLAB, TensorFlow, Python, Pandas, NumPy, SciPy, C/C .

Knowledge of optical image formation theory and optical imaging systems is strongly preferred. Candidates with systems engineering experience are highly desired.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.

The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Job Type: Full-time

Pay: $150,000.00 - $160,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Schedule:

• 8 hour shift
• Day shift

Work Location: In person