Research Scientist - Electromagnetics and Plasma

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

Company Overview

Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, 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?

Group/Division

 

KLA has always had a close relationship with physics and data.  Our optical and electron beam inspection and measurement tools use cutting edge physics models, both for hardware design and as part of their algorithms.  AI, including several traditional machine learning techniques and deep learning are routinely used to process this data to meet application requirements.

The AI & Modeling Center of Excellence, centered in KLA’s R&D facility in Ann Arbor, MI, was setup with the mission of advancing KLA’s traditional strengths in physics and data and providing implementation solutions for multiple KLA Inspection and Metrology products targeted at the semiconductor manufacturing industry.

As a part of this group, you will be part of a world class team of physicists, HPC system designers, machine learning and application engineers who build cutting edge solutions for modeling complex imaging techniques and semiconductor processes.  You will also work with a data scientists and AI infrastructure engineers whose mission is to build and scale machine learning based solutions for our semiconductor customers.

We are looking for engineers in a few different fields.  If you are passionate about Physics Modeling, High Performance Computing - HPC (including GPU) – this is the place for you!

Responsibilities

• Research and innovate next-generation electromagnetic solvers and algorithms for semiconductor device
• Develop numerical models and algorithms for computational electromagnetics and plasma physics
• Understand when the models and algorithms break down and develop testing procedures to validate assumptions in the models
• Work with Advanced Development and Applications teams to confirm the feasibility of the new algorithms
• Document the theory and implementation of the new algorithms, and give presentations both internally and externally regarding the work
• Provide technical support during alpha and beta testing
• Maintain new and existing algorithms and software solutions 

  

Qualifications

• Doctorate (Academic) in the physical sciences or engineering.
• Strong background in numerical simulations in computational electromagnetics, plasma physics, or relevant fields.
• Strong backgroun