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Algorithm Engineer (Deep Learning/C++)(E)

KLA Corporation

KLA Corporation

Milpitas, CA, USA
Posted on Sep 22, 2023
Base Pay Range: $100,100.00 - $172,200.00Primary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

Algorithm Engineers are core to KLA’s technology, while we do not currently have an opening, we are always building our Algorithm Engineering talent community, we are interested in learning about your background.

Apply to this posting for Future Opportunities with KLA.

Responsibilities

A) In this role, you will: Contribute to novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis.

B) Evaluate and productize deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space.
C) Collaborate with software and computer groups to design and implement data management, model training and inference flows.

D) Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in global project teams.


Qualifications:
Academic background required in any one of the following areas:
Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C++ software under Linux is preferred.

Familiarity with any one of the following is a plus:
Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools.

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 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.