Job Description:
Business Unit:
KLA has always had a close relationship with data. Our optical and electron beam inspection and measurement tools use sophisticated data analytic techniques to provide value for our customers.
In this role, you will be part of a world class team of data science researchers, machine learning and application engineers who build and use a world class platform for development of Industrial AI application.
We are looking for engineers with a passion for data science and software engineering who can rapidly incorporate evolving ideas from academia and industry into useful solutions for our internal and external customers.
Responsibilities:
1.Work across the ML development platform (data, training, serving) to directly optimize operational cost through utilization improvements and efficiency work.
2.Develop insight tooling that would provide cost estimates (training and serving) for various ideas being developed by ML engineers. Unviable ideas can be weeded out early this way.
3.Design and build capacity management framework to introduce notions of priority into jobs and ensuring that no part of the system is overloaded at any time.
Qualifications:
Highly Desired: GPU Programming / CUDA. Cloud, Distributed Training & Scale out
Preferred Qualifications:
Python, Go, Java, C++
Doctorate (Academic)OR Master's Level Degree with at least 2 years of experience. OR Bachelor's Level Degree with at least 3 years of experience.
Minimum Qualifications:
PhD with at least 2 years
OR
Master's Level Degree with at least 3 years of experience
OR
Kindly send your resume to sivaram.bose@kla.com
KLA is an Equal Opportunity Employer. Applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.
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