Author Archives: Sandra Liu

Improving Patterning Yield at the 5 nm Semiconductor Node

By:  Benjamin Vincent, Ph.D., Staff Engineer, Semiconductor Process & Integration

Engineering decisions are always data-driven.  As scientists, we only believe in facts and not in intuition or feelings.

At the manufacturing stage, the semiconductor industry is eager to provide data and facts to engineers based upon metrics such as the quantity of wafers produced per hour and sites/devices tested on each of those wafers. The massive quantity of data generated in semiconductor manufacturing can provide facts that engineers can use to make immediate and accurate decisions, such as how they might correct any excursion or yield drift. Data exists, so life is (kind of…) easy! read more…

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FD-SOI Adoption Expands

By Ed Sperling

Fully depleted silicon-on-insulator (FD-SOI) is gaining ground across a number of new markets, ranging from IoT to automotive to machine learning, and diverging sharply from its original position as a less costly alternative to finFET-based designs.

For years, FD-SOI has been viewed as an either/or solution targeted at the same markets as bulk CMOS.

read the full article here.

LAM RESEARCH ACQUIRES MEMS SOFTWARE COMPANY COVENTOR

By Mike Pinelis

In August of 2017, Lam Research completed the acquisition of Coventor, a MEMS modeling and simulation software company, for a total purchase consideration of $137.6 million. When asked about how Coventor fits into Lam’s portfolio, the company’s Executive VP and CFO Douglas Bettinger said that, potentially, there are benefits and synergies with Coventor’s software capability to model and simulate the actual output of Lam’s equipment. We recently spoke with Stephen Breit, Coventor’s Sr. Director of MEMS, and discussed the trends that he is seeing in the MEMS marketplace. Since Coventor works with many MEMS companies, we also asked Stephen about the notable startups and technologies.

read the full article here.

GPU Computing Software Engineer – Paris, France

GPU Computing Software Engineer – Paris, France

At Coventor, we build innovative software products to solve semiconductor technology challenges. Our 3D modeling software is revolutionizing the way that semiconductor chips are fabricated around the world. Enabled by our core intellectual property – an accelerated 3D voxel modeling and visualization engine – our software is evolving fast as our business and customer base expands rapidly.

We are searching for a talented software engineer with a strong background in GPU computing and rendering to join our development team. Our voxel-based 3D modeling engine creates highly accurate and topologically complex models of nanometer-scale semiconductor devices. Consequently, the accurate real-time visualization of such large structures across a variety of hardware platforms is a major challenge. You will participate in the development of a GPU-based ray-tracing engine for complex voxel models, in the implementation of advanced data visualization techniques, as well as in the implementation of other general-purpose computing algorithms on the GPU.

This is a perfect role for candidates who are interested in GPU computing, ray-tracing, 3D computer graphics as well as software engineering in a commercial environment. You will work closely with our semiconductor process technology team to understand technical requirements of our partners and customers. Your work will enable Coventor and our customers to visualize and inspect the highly complex 3D structures of today’s semiconductor devices in real time.

Responsibilities

  • Participate in the development of a GPU-based real-time ray-tracing engine for complex 3D voxel models
  • Implement advanced 3D data visualization algorithms
  • Accelerate voxel model operations, numerical linear algebra functions, or geometry processing algorithms
  • Collaborate with our applications team to understand and troubleshoot customer requests and problems
  • Create high-quality software including unit tests and documentation

Required Qualifications

  • PhD or MS in computer science related to GPU computing, computer graphics, or equivalent experience
  • Expertise in GPU computing, ray-tracing, level-of-detail techniques, handling of large data sets on the GPU
  • In-depth knowledge of one or more GPU computing toolkits such as NVIDIA® CUDA™, OpenCL™, or Vulkan®
  • Strong background in C++ programming and software engineering
  • Strong fundamental math skills
  • Excellent communication skills in English, both written and oral, as well as the ability to clearly communicate technical concepts

Desirable Qualifications

  • Familiarity with multiple GPU computing toolkits on different platforms is a plus
  • Experience with GPU performance profiling and debugging tools
  • Experience with voxel modeling and/or geometry processing algorithms
  • Knowledge of agile methods, object-oriented design, design patterns, and cross-platform development (Windows/Linux)
  • Experience with C++ libraries such as boost, STL, or Qt. Familiarity with C++11 and template programming. Python coding skills.
  • Any professional software development experience is a plus, preferably developing a 3D modeling software product
  • Knowledge of semiconductor process technology, or any software related to semiconductor design or manufacturing

Salary, job title, and responsibilities will be commensurate with experience. This opening is in Villebon-sur-Yvette, close to Paris, or in Dublin, Ireland. If you are interested in this opportunity and you are authorized to work in France or Ireland, e-mail you resume in English to job1866@coventor.com.

Unlikely Pairings – Recent Atypical Mergers

By Bryon Moyer

Companies come; companies go. I don’t focus a lot on who buys whom – there are plenty of folks breathlessly watching that stuff, so I mostly leave the drama to them. After all, it’s an age of consolidation and accumulation of immense corporate power. So your typical low- to mid-level merger may not be particularly noteworthy.

But lately, there have been a couple of mergers/acquisitions that have had some unusual features to them. Add to that the fact that they’re companies we’ve looked at before, and it seems worth spending some time on them.

read the full article here.

Delivering the Next 5 Years of Semiconductor Technology

New, advanced semiconductor processing and architectural technologies take years to perfect and put into production. In the meantime, semiconductor customers continue to demand faster, smaller and higher functioning devices. Semiconductor manufacturers need to decide whether (and when) to jump to the next generation of devices and production technologies, weighing the risk and benefit of bringing the next processing and architecture technologies to market. read more…

SEMulator3D Honored as UBM ACE Award Finalist

For Immediate Release
For more information, contact:
Toni Sottak
(408) 876-4418
toni@wiredislandpr.com

SEMulator3D Honored as UBM ACE Award Finalist

Coventor’s Virtual Fabrication Platform Recognized for Significantly Improving Electronics Manufacturing

CARY, NC– November 17, 2017 – Coventor®, Inc. a Lam Research Company and leading supplier of virtual fabrication solutions for semiconductor and micro-electromechanical systems (MEMS) devices, today announced its 3D virtual fabrication platform, SEMulator3D®, has been named a finalist in UBM’s annual ACE Awards competition.

The ACE (Annual Creativity in Electronics) Awards, in partnership with EE Times and EDN, showcase the best of the best in today’s electronics industry, including the hottest new products, start-up companies, design teams, executives, and more. ACE finalists and winners are hand selected by a panel of EE Times and EDN editors as well as independent judges from the across the industry. read more…

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Overlay Challenges On The Rise

By MARK LAPEDUS

The overlay metrology equipment market is heating up at advanced nodes as the number of masking layers grows and the size of the features that need to be aligned continue to shrink.

Both ASML and KLA-Tencor recently introduced new overlay metrology systems, seeking to address the increasing precision required for lines, cuts and other features on each layer. At 10/7nm, there may be 80 or more masking layers, versus 40 at 28nm. And if those layers are not precisely measured, the features being patterned, deposited and etched may not line up from one layer to the next.

read the full article here.