Berkeley Lab's NERSC Division has an opening for a Data Analytics Engineer. The National Energy Research Scientific Computing (NERSC) Center at Lawrence Berkeley National Laboratory (LBNL) seeks an individual passionate about data analytics and science to become a Data Analytics Engineer. The successful applicant will support users of data analytics and workflow tools at scale in a high-performance computing (HPC) context and conduct outreach, engagement, and training efforts with NERSC users.
NERSC is the mission facility for HPC and data for the U.S. Department of Energy (DOE) Office of Science, the Nation's largest supporter of basic research in the physical sciences. NERSC supports researchers funded by all six Office of Science areas: Basic Energy Sciences, Biological and Environmental Sciences, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Advanced Computing for Scientific Research. The Center provides world-class supercomputing, high-performance, scalable data systems and services to 7000 users across more than 700 projects. NERSC's science impact is acknowledged by over 2500 peer-reviewed publications per year.
As a Data Analytics Engineer at NERSC, you will gain experience with cutting-edge data analytics tools and frameworks, help users improve data analytics application performance and scaling, and work in a collaborative environment with scientists and engineers from a wide variety of backgrounds. You will join the Data and Analytics Services Group at NERSC that supports experimental and observational science users, advanced data analytics, storage, and machine learning. You will be part of multi-disciplinary and cross-institution projects, involving academic and industry partners such as NVIDIA and Cray.
What You Will Do:
Support the production Python stack at NERSC. Work with industry collaborators, NERSC users and broader research community to identify and deploy a rich set of capabilities. Assist in responding to user tickets. Extend monitoring capabilities to track popularity and adoption of various features.
Develop and enhance performance profiling capabilities across the entire Data stack. Work with other members of the DAS team to evaluate performance bottlenecks for various codes and workflows.
Assist in articulating a portability, performance and scaling strategy associated with transition to GPU architectures. Mentor NESAP for Data teams (and post-docs) with an eye towards demonstrating efficient utilization and transition of codes to heterogeneous hardware.
Assist in one or more areas of the broader NERSC Data stack (workflows, visualization, management, access, etc.).
Assure that users running complex workflows originating from outside of NERSC are well supported and that any issues are escalated appropriately.
Develop and deliver high-quality training events and materials for NERSC users, with emphasis on Python and GPU-enabled applications for data analytics.
What is Required:
Requires a Bachelor's degree and 8 years related experience (or higher degree) or equivalent experience.
Prior experience in working with domain scientists, and interdisciplinary collaborations.
Strong programming ability in Python, familiarity with C/C++.
Expertise in performance profiling, benchmarking, optimizing, and/or scaling applications on HPC systems.
Exposure to GPUs, and GPGPU.
Strong oral and written communication skills.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Additional Desired Qualifications:
PhD in computer science, domain sciences, or related fields.
Experience, knowledge, and/or interest in applying machine learning techniques to scientific data.
Knowledge of HPC systems.
Exposure to multiple capability areas in the Data stack (analytics, management, workflow, visualization, access, sharing).
Experience working with users from external experimental facilities.
Ability to engage with science users and participate in collaborative projects in new science areas.
The posting shall remain open until the position is filled.
This is a full time, 2-year term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
Full-time, M-F, exempt (monthly paid) from overtime pay.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 87145
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.