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while we do not currently have an opening,nterested in learning about your background.
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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.
Responsibilities and Qualifications:
Although familiarity with Machine Learning and Deep Learning solutions would be a big plus, this is primarily a Software Engineering position. Successful candidates are passionate about software and will have exceptional skills and hands on experience with development in C/C++ and Python in a Unix environment. Deep conceptual understanding of multi-threaded and multi process software systems is also necessary.
In addition to the above fundamental software skills, any of the following technical hands-on skills are highly desirable.
1) System Programming and Operating Systems.
2) Distributed systems for data management.
3) Distributed computing infrastructure.
4) Cloud technologies for storage, containerization and compute clusters.
5) Data Structures and algorithms
6) GPU architectures and data management.
7) Traditional machine learning using Random Forest, XG Boost, Logistic Regression.
8) Deep Learning for regression,classification.Generative models.
9) TensorFlow, NumPy, scikit-learn, and other ML and DL frameworks.
10) MPI and similar distributed computing framework.
11) GPU Architectures and CUDA (CuGraph, CuData, CuML etc).
12) GO Systems Programming, Java Programming.
Minimum Qualifications
Bachelors degree and 8+ years of experience OR Masters level degree and a minimum of 6+ years of experience OR a PhD and 3+ years of experience
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