Algorithm engineer


Location Pin Icon
Milpitas, CA

Job Description

As posted by the hiring company

Job Overview:

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 in 2019 we invested 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

KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry. This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products.

Responsibilities include:

•Design, development and implementation of cutting edge computer vision and image processing algorithms in support of wafer inspection and review systems

•Rapid prototyping and validation of new machine learning, deep learning and image processing algorithms

•Develop end to end solutions that are holistic taking into account the system, imaging pipeline, the user experience and the use case requirements

•Work in a highly cross functional organization to participate/drive systems integration of algorithms.

•Write robust production quality code with a mindset of doing it right the first time.

•Own prototype to production and field adoption of new algorithms

Qualifications include:

Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics

•Strong background in one or more of the following areas: Image processing, Machine Learning, deep learning or computer vision

•Proficiency in C/C++, python and object oriented design

•Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc.

•Ability to formulate problems into mathematical equations.

•Team player with excellent written and verbal communication skills.

•Ability and willingness to travel worldwide to support demos and other projects at customer sites.

What will differentiate you

•5+ years of experience with solving computer vision challenges

•Strong understanding of vision related deep learning work like Generative models, semantic segmentation, auto encoders, anomaly detection, etc.

•Strong fundamentals in low level image processing algorithms

•Appreciation of complex image acquisition systems

Minimum Qualifications

Minimum qualifications:

Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics


Masters in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics + 1 year relevant experience

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation 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 to request accommodation.