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Algorithm Development Engineering – AI/ML Group

KLA

Algorithm Development Engineering – AI/ML Group

KLA

Hsinchu, Taiwan

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Remote work flexibility

Health, dental, and vision coverage

Flexible PTO policy

Required Skills

Airflow

Apache Spark

SQL

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 Key Responsibilities: 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. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification**. In addition, we are actively exploring using** Generative models (GAN) for SEM image simulation and image quality enhancement.

  • This position involves developing advanced image processing algorithms for the wafer inspection and review.

  • Designs and develops cutting edge image processing and machine learning algorithms

  • Collaborate with Application Engineers and Customers to design, develop and productize solutions at customer sites.

  • Support the adoption of e Beam solutions at customer sites.

  • Implement system level solutions to push the limits of sensitivity on semiconductor inspection & review systems.

  • Designs and implementations are always constrained to operate with the boundaries of robustness and stability.

  • Real time requirements pose additional challenges and works extensively on providing solutions to live customer problems in the field.

  • This position is unique as it interfaces with several system level groups

  • Optics, mechanics, sensors, and applications among others.

  • The opportunities are boundless in the technical areas as we are constantly pushing the envelope of leading-edge technologies in algorithms and image computers.

  • System level solutions for these complex automated inspection platforms. We are constantly innovating and releasing products every few months.

  • Minimum Qualifications

  • New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred)

  • The ideal candidate will have a working knowledge of Machine Vision.

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

  • Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation,

  • Ability to formulate problems into mathematical equations.

  • Proficiency in computational methods, C++, and object-oriented design.

  • Team player with good written and verbal communication skills.

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

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.  KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings.  KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.  If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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About KLA

KLA

KLA

Public

KLA Corporation is an American company based in Milpitas, California that makes wafer fab equipment. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries.

10,001+

Employees

Milpitas

Headquarters

Reviews

3.6

26 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

3.6

Career

3.1

Management

3.4

65%

Recommend to a Friend

Pros

Good management and supportive leadership

Competitive compensation and benefits package

Strong engineering department and talented peers

Cons

Limited career growth and promotion opportunities

Work-life balance issues with long hours

Chaotic work environment with minimal direction

Salary Ranges

0 data points

L4

L5

L4 · Data Scientist

0 reports

$147,667

total / year

Base

-

Stock

-

Bonus

-

$125,532

$169,802

Interview Experience

14 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

57%

Experience

Positive 36%

Neutral 36%

Negative 28%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview Rounds

5

Final Round/Onsite

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience