Software Developer - Menlo Park, CA
Recruiter: SLAC National Accelerator Laboratory
| BrightRecruits ID# 1033 |
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| Job Ref: 35473 |
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| Job Sector: Computing and IT |
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| Salary: $Competitive |
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| Location: United States |
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| Job Type: Permanent |
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| Added: 23/07/2010 |
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| Job Closing Date: |
(2 positions available)
SLAC National Accelerator Laboratory is one of the world's leading research laboratories in particle physics research. SLAC is now a multipurpose laboratory for astrophysics, photon science, accelerator and particle physics research, and is operated by Stanford University for the U.S. Department of Energy. We currently have opportunities available for Software Developers.
Responsibilities:
The Fermi Gamma-Ray Space Telescope was successfully launched into orbit in the summer of 2008 and has since provided a spectacular view of the gamma-ray universe. This summer, the Enriched Xenon Observatory EXO, installed at WIPP in New Mexico, will start taking data and possibly provide an answer to whether the neutrino is its own anti-particle and also measure the neutrino mass. In a few years, SuperCDMS will start data taking at the bottom of a mine in Sudbury, Canada, and possibly provide the first direct detection of Dark Matter. More details about current and future experiments can be found on the SLAC Particle and Particle-Astrophysics web site: http://home.slac.stanford.edu/ppap.html. The SLAC Particle and Particle-Astrophysics Scientific Computing Applications department is looking for two people to join the "Data Handling" team responsible for providing tools to enable scientists to efficiently process and analyze large amounts of data for these and other experiments at the laboratory. The successful applicants will work with a small team of software professionals and scientists developing graphical and web based monitoring, analysis and visualization tools and tools for automated processing, storing and cataloging large datasets of High-Energy and Astrophysics data. The team's work involves extensive use of mainly open-source Java and Java related tools (Maven, Netbeans, Swing, JSP, JDBC, GWT) and databases (Oracle and MySQL) as well as interfaces to C++ and Python code. More details on the group's work can be found at: http://bit.ly/9DsFYE. We are looking for applicants who are able to work independently and can contribute a variety of skills to a number of ongoing and new projects.
Required Skills:
A BA in physics or computer science (or combination of education and experience) and at least several years of demonstrated experience developing object oriented software in Java or C++. Good communication skills and the ability to work with a diverse and possible geographically dispersed team are required. The ability to rapidly pick up new tools and skills while working in a fast-paced and relatively unstructured environment is essential. Demonstrated ability to work proactively to complete assignments.
Desired: Experience with data mining, data analysis/visualization, database design and optimization or web application developments. Demonstrated experience of developing software using novel techniques is a big plus.
Interested applicants can apply online at:
http://www-public.slac.stanford.edu/hr/jobs/jobdetail.asp?REQID=35473
SLAC National Accelerator Laboratory is one of the world's leading research laboratories in particle physics research. SLAC is now a multipurpose laboratory for astrophysics, photon science, accelerator and particle physics research, and is operated by Stanford University for the U.S. Department of Energy. We currently have opportunities available for Software Developers.
Responsibilities:
The Fermi Gamma-Ray Space Telescope was successfully launched into orbit in the summer of 2008 and has since provided a spectacular view of the gamma-ray universe. This summer, the Enriched Xenon Observatory EXO, installed at WIPP in New Mexico, will start taking data and possibly provide an answer to whether the neutrino is its own anti-particle and also measure the neutrino mass. In a few years, SuperCDMS will start data taking at the bottom of a mine in Sudbury, Canada, and possibly provide the first direct detection of Dark Matter. More details about current and future experiments can be found on the SLAC Particle and Particle-Astrophysics web site: http://home.slac.stanford.edu/ppap.html. The SLAC Particle and Particle-Astrophysics Scientific Computing Applications department is looking for two people to join the "Data Handling" team responsible for providing tools to enable scientists to efficiently process and analyze large amounts of data for these and other experiments at the laboratory. The successful applicants will work with a small team of software professionals and scientists developing graphical and web based monitoring, analysis and visualization tools and tools for automated processing, storing and cataloging large datasets of High-Energy and Astrophysics data. The team's work involves extensive use of mainly open-source Java and Java related tools (Maven, Netbeans, Swing, JSP, JDBC, GWT) and databases (Oracle and MySQL) as well as interfaces to C++ and Python code. More details on the group's work can be found at: http://bit.ly/9DsFYE. We are looking for applicants who are able to work independently and can contribute a variety of skills to a number of ongoing and new projects.
Required Skills:
A BA in physics or computer science (or combination of education and experience) and at least several years of demonstrated experience developing object oriented software in Java or C++. Good communication skills and the ability to work with a diverse and possible geographically dispersed team are required. The ability to rapidly pick up new tools and skills while working in a fast-paced and relatively unstructured environment is essential. Demonstrated ability to work proactively to complete assignments.
Desired: Experience with data mining, data analysis/visualization, database design and optimization or web application developments. Demonstrated experience of developing software using novel techniques is a big plus.
Interested applicants can apply online at:
http://www-public.slac.stanford.edu/hr/jobs/jobdetail.asp?REQID=35473
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