Lead Analyst Algorithm Development Engineering
Lead Analyst Algorithm Development Engineering
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Job Description
Company Overview
Group/Division
Job Description/Preferred Qualifications
KLA 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 voicecontrolled 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 problemsolvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. There is never a dull moment with us.
Job Description
We are seeking a highly talented individual for a software algorithm engineering position in MACH Division. The successful candidate will join a worldclass team of algorithm and software engineers to design deep learning machine learning image processing and related algorithms for wafer inspection and metrology applications.
A key qualification of the candidate is the ability and passion to create new ideas analyze complex systems formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess good oral and written communications skills and domestic or international travel involved for up to 20 (supporting customer betas or visiting/training in Asia/US etc.
Detailed responsibilities include:
- Evaluating and improving DL/ML training sets and associated workflow processes
- Evaluating and improving DL/ML learning model performance
- Comparing and assessing various DL/ML learning models
- Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e. extracting information from noisy images)
- Working with local and global teams in all phases of product lifecycles
- Working with product engineering teams to define performance specifications and deliver to those specifications
- Providing technical support during product demos and beta testing working with domain experts from other functional teams on customer engagement projects
Minimum Qualifications
Preferred Qualifications
- Strong background in at least one of the following areas: image processing computer vision pattern recognition
- Excellent mathematical and analytical skills
- Proficiency in C/C Python Linux shell scripting and objectoriented programming
- Ability to learn/ work with source code control software
- Good oral and written communications skills
- Ability to manage multiple tasks and prioritize work
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)
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 KLAs 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.
Required Experience:
IC
Employment Type
Full-Time
