AI/ML Job: Software Engineer: Machine Learning Infrastructure


KLA-Tencor

Software Engineer: Machine Learning Infrastructure at KLA-Tencor

Milpitas, California, United States 🇺🇸   (Posted Jun 17 2018)
About the company
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA-Tencor, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we? We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us. The future is calling. Will you answer?

Job position
Permanent

Job description
First to deliver the best imaging and classification data for every defect or point on any wafer at any time.

EBeam’s mission encapsulates its role as the “eyes” of KLA-Tencor’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA-Tencor patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

Responsibilities

At KLA-Tencor we don't just work on bleeding edge, we define bleeding edge. The Software driving our eBeam Inspection/Review tools enables our Customers to create next the generation of processor technologies

We are looking for passionate professionals to join our team!

The successful candidate will be involved in building complex multimillion dollar products which are a composition of (Software, Electronics, Mechanics and Machine Control). These product(s) are to solve critical modern day challenges in the fields of nano-technologies and complexities of manufacturing advanced next gen semiconductor chips

Responsibility will include the development, support for highly scalable service orientated infrastructure to execute machine learning algorithms, seamlessly move high volumes of data across components.

Understand the design, architecture of the system/product and the layered software that runs the system.

With an R&D mindset explore, experiment, and bring the cutting edge open source technologies to the product

Work in an agile based development environment

Skills & requirements
Attitude:

Share knowledge and willing to learn from others and co-workers

Inquisitive and scientific spirit, eager to learn new technologies, experiment and fail

Team spirit, collaboration, “never-give-up”

Bring the “startup” kind of mindset to blend with an experienced corporate leader in semiconductor related industries

Preferred Qualifications

Proficiency in Python, Java, C/C++. Familiarity with DL frameworks (e.g., Tensorflow, Caffe, Torch, etc).

We understand that the languages keep evolving and proliferate. We are not looking for language syntax, we are looking at your basic problem solving skills in software computing and past exposure to these languages:

Design and Code in Object Oriented Technology

Proven ability to influence cross-functional teams without formal authority

Highly creative and inquisitive; able to multitask effectively

Strong verbal and written communication skills

Minimum Qualifications

Bachelor's Level Degree with at least 5 years of experience OR

Master's Level Degree with at least 4 years of experience OR

Doctorate (Academic) with at least 2 years of experience

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via https://Jobhunt.ai
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