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Algorithm Engineer (R&D) Job Opening In Singapore, Singapore – Now Hiring KLA


Job description

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Algorithm Engineer (R&D)
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KLA
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Algorithm Engineer (R&D)
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KLA
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.


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.


Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively.

Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.

The Surfscan group includes a team of engineers, technology development, apps engineers and product marketing focused on technology that enables wafer, IC and equipment manufacturers to develop, qualify and monitor their process tools.

Defects and process non-uniformities detected on Surfscan equipment allow for early identification of yield excursions.

The flagship Surfscan products include the SPx platforms for wafer surface quality and wafer defect inspection tools and systems for inspection of polished wafers, epi wafers and engineered substrates during the wafer fabrication process.


Job Description/Preferred Qualifications
Responsibilities:
The job focuses on the development of image and signal processing algorithms for the next generations of optical inspection and metrology systems.

The responsibilities of this position covers the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support.

Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.


Requirements:
Ph.D. or Master Degree holder in Electrical Engineering, Computer Science and Physics with strong experience in algorithm development is preferred.


The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including texture analysis, deep learning, image segmentation, feature extraction, classification, statistical data analysis, signal processing, filter theory.


Experience in any one of the following areas is a big plus: algorithm performance optimization, CUDA programming, parallel computing, distributed computing.


Software skills required include C/C++, OOD/OOP, MATLAB and/or Python.


The candidate needs to be a self-motivated individual with ability to work independently and/or in a team.

Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.


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
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 to confirm the person you are communicating with is an employee.

We take your privacy very seriously and confidentially handle your information.


Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Semiconductor Manufacturing
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Unlock Your Algorithm Engineer Potential: Insight & Career Growth Guide


Real-time Algorithm Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Algorithm Engineer in Singapore, Singapore, highlighting market share and opportunities for professionals in Algorithm Engineer roles.

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Are You Looking for Algorithm Engineer (R&D) Job?

Great news! is currently hiring and seeking a Algorithm Engineer (R&D) to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at KLA adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Algorithm Engineer (R&D) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Algorithm Engineer (R&D) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Algorithm Engineer (R&D) Job Success

KLA interview tips for Algorithm Engineer (R&D)

Here are some tips to help you prepare for and ace your Algorithm Engineer (R&D) job interview:

Before the Interview:

Research: Learn about the KLA's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Algorithm Engineer (R&D) interview at KLA, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the KLA's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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