Berkeley Lab's Computational Science Department has an immediate opening for one or more Computer Systems Engineers to assist in the implementation and documentation of new high-performance computing (HPC) approaches to a variety machine learning challenges in the Physics Sciences.
Over the course of the last five years, Berkeley Lab's Computational Research Division in collaboration with NERSC Data Analytics group and the Physics Division has developed a research program in data-driven pattern recognition algorithms for High Energy Physics (HEP) and Cosmology, targeting massively parallel and post-Moore architectures (including neuromorphic and quantum systems). Several promising research directions involve the development of distributed Geometric Deep Learning, algorithms based on distributed graph neural networks, as well as Generative Adversarial Networks.
The Computer Systems Engineer will:
In the context of the DOE ExaLearn Co-Design Center, collaborate with LBNL physicists and computer scientists to support development of innovative distributed pattern recognition algorithms for the next generation of HEP and Cosmology experiments and simulations on HPC systems.
Develop workflows for distributed training and optimization of neural networks, GANs and regression algorithms as we push to Exascale.
Profile and benchmark deep learning codes to identify data management, I/O, and overall workflow bottlenecks.
Implement and tune software solutions to address bottlenecks in deep learning frameworks, I/O middleware, and file system parameters on current HPC systems.
Run performance tests on multiple DOE HPC systems, such as Summit @ ORNL and Cori @ LBNL, to characterize the effectiveness of solutions created.
Contribute to one or more existing research projects dedicated the development of Machine Learning algorithms for Cosmology and HEP.
Bachelor's degree and at least 8 years related experience or a combination of equivalent education and experience
Background in I/O middleware, including familiarity with multiple storage architectures and technologies.
Experience, knowledge and / or significant interest in applying I/O middleware optimizations to scientific data.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
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Internal Number: 86111
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.