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.
Position Summary:
Berkeley Lab’s Computational Research Division (CRD) is seeking a Computer Systems Engineer (CSE) to work in the Center for Advanced Mathematics for Energy Research Applications (CAMERA). The CSE will help develop production quality tools required for several novel projects in collaboration with mathematicians and scientists who work at state-of-the-art synchrotron radiation and X-ray laser facilities.
CAMERA supports a spectrum of experimental science, aimed at providing the fundamental advances needed to meet the nation's energy, environmental, and national security challenges. Applied mathematics can play a pivotal role in these investigations. Sophisticated, state-of-the-art mathematics can transform experimental science and further discovery. Fundamental computational methods, advanced algorithms, and novel mathematics enable knowledge discovery by developing methods to interpret results, find optimal solutions and develop the proper mathematics to predict and describe critical events.
Specific Responsibilities:
Contribute to the development and support of production ready code using advanced analysis algorithms in a data intensive / high performance computing environment.
Supplement the improvement of software libraries, and efficient kernels in one or more of the following parallel libraries/languages/environments: C/C++, Python, MPI, CUDA.
Implement a suite of user interface libraries shared across multiple tools and frameworks.
Support and respond to requests from scientists, add quality assurance functionality, and write novel high performance algorithms.
Assist in the advancement of image processing, analysis, and information extraction tools that work efficiently in a high performance computing environment, and incorporate these tools into an automated data analysis workflow.
Required Qualifications:
Bachelor’s degree or higher, or equivalent experience and a minimum of 4 years related experience or the equivalent combination of education and experience.
Experience in scientific computing, with demonstrated ability to design and implement analysis software, preferably shared and distributed memory parallel software, in one or more of the following programming languages and parallel libraries/languages/environments: C/C++, Python, MPI, CUDA.
Software engineering tools: Build systems (cmake), version control systems (CVS, SVN, git), Debugging Tools (gdb/valgrind/nvprof).
Ability to work effectively with a multidisciplinary team.
Excellent oral and written communication skills.
The posting shall remain open until the position is filled.
Notes:
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
This position is contingent on the successful completion of a background check.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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."
