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Computer Systems Engineer (CAMERA)

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CR-Computational Research
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Berkeley Lab’s Computational Research Division has an opening for a Computer Systems Engineer.


Berkeley Lab’s CAMERA (Center for Advanced Mathematics for Energy Research Applications) has one or more Computer Systems Engineer positions to develop and implement mathematical algorithms and related software for synchrotron data reduction, visualization, and management. Working with a cross-facility team, you will help implement and further the development of CAMERA’s mathematical algorithms, as well as those coming from other synchrotron facilities, into data pipeline routines and tools applicable to a variety of experimental techniques, including SAXS, NEXAFS, Ptychography, Electron/X-ray Microscopy, and Tomography. You will help lead developments in these areas, work on and resolve problems of diverse scope and help guide the design, distribution and adoption of portable tools generally applicable across user facilities. Classification will depend upon the applicant's level of skills, knowledge, and abilities.


Specific Responsibilities:


  • Independently implement and maintain high-performance data treatment and reduction/reconstruction routines for a large variety of advanced mathematical techniques for synchrotron light sources, including, Scattering, NEXAFS, Ptychography, Electron/X-ray Microscopy, and Tomography.

  • Develop infrastructure for open source cross-facility dissemination and portability of algorithmic code base.

  • Integrate data reduction pipeline with open data systems, providing options for exposing user facility data to the public in a curated database with queryable web front-end.

  • Enable high-throughput data pipelines via high-performance computing and storage resources, and extend accessibility of these resources to end users.

  • Collaborate with external scientists and software developers to adapt open-source tools and algorithms for use at DOE user facilities.

  • Work on problems of diverse scope where analysis of situations or data requires an in-depth evaluation of variable factors.

  • Provide leadership in coordinating CAMERA software efforts across DOE light sources.

  • Prepare documentation, automated build, and testing system for all code developed.

  • Support the extension of data management and processing capabilities to accommodate increased demands from upgrades at national light sources, including ALS-U.

  • Familiarity with Xi-CAM and other existing CAMERA software.  

  • May work on and resolve complex technical issues and help guide the design, distribution and adoption of portable tools generally applicable across user facilities.


Additional Responsibilities:


  • Educate and instruct users in use of tools and algorithms for technique/experiment-specific data through informal training and recorded short courses.

  • Foster development of new software tools by domain scientists, educating and supporting their training of software development best-practices, including documentation, code review, deployment, maintenance, support, and testing.

  • Attend user facility meetings to present tools for cross-facility use, and support collaboration between groups.

  • Provide scientist and user support in deployment and maintenance of developed tools.


Minimum Qualifications:


  • Bachelor’s in Physics, Computer Science, Mathematics, or a related field or equivalent combination of skills and experience and 5 years of related experience.  Advanced degree (PhD / MS) preferred; or an equivalent amount of education and experience.

  • At least 3 years of software development experience in a multidisciplinary environment.

  • Experience developing new mathematical algorithms for analysis at synchrotron light sources such as Fourier transform, physics-based models, statistical models, non-convex optimization, computer vision and image processing, including significant expertise in algorithmic development for two or more of the following experimental techniques: tomography, SAXS/WAXS/GISAXS, NEXAFS, resonant scattering (TReXS, RSoXS), or others.

  • Demonstrated expertise at successfully working across DOE light sources and bringing varied groups together. In particular, demonstrated expertise in coordinating software development teams working at various DOE National Laboratories such as LBL, BNL, SLAC and ANL.

  • Experience developing open source code in areas such as synchrotron data reduction, management, and/or visualization.

  • Experience in use and integration of beamline hardware controls, particularly with the EPICS environment.

  • Significant experience with Python, relational and non-relational databases, and web development/programming.

  • Significant experience in modular, multi-threaded GUI development for scientific applications.

  • Familiarity with software version control systems (git, github, bitbucket), continuous integration, and automated documentation systems (sphinx etc.)

  • Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers with varied academic backgrounds.

  • Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings and conferences.


Additional Desired Qualifications:


  • Advanced degree (PhD or Masters of Science) preferred.

The posting shall remain open until the position is filled.

  • This is a full time career appointment.

  • Full-time, M-F, exempt (monthly paid) from overtime pay.

  • Salary is commensurate with experience.

  • Level will be determined by the demonstrated skills, knowledge and abilities of the selected incumbent.

  • 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."


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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."

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.