Algorithm Engineer; Deep Learning​/C+ +(E

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. 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

Note: 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 and are interested in learning about your background. Apply to this posting for future opportunities with KLA.

• In this role, contribute to novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis.
• Evaluate and productize deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space.
• Collaborate with software and computer groups to design and implement data management, model training and inference flows.
• Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in global project teams.

• Academic background required in 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++ under Linux is preferred.
• Familiarity with any of the following is a plus:
  Linear and nonlinear optimization techniques, CUDA/GPU programming frameworks (e.g., Tensor Flow), and data analysis and visualization tools.

• Doctorate degree with related work experience, or
• Master’s degree with related work experience of 3 years, or
• Bachelor’s degree with related work experience of 5 years.

Base Pay Range: $91,200.00 - $

Benefits and notes: KLA’s total rewards package for employees may include participation in performance incentive programs and eligibility for additional benefits including medical, dental, vision, life and other voluntary benefits, 401(k) with company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement, development and career growth opportunities, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid holidays, and family care and bonding leave.

Interns are eligible for some benefits listed. Pay ranges depend on role, level and location. The displayed range reflects the pay for this position in the primary location identified in this posting. Actual pay depends on factors such as state minimum wage, location, job-related skills, experience, and education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable.

If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We provide reasonable accommodation to qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at  or at  to request accommodation.

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