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(Jan 10, 2012) - We are no longer accepting further applications for this position.

Position Description:

This position acts as an expert consultant and enabler to faculty, post-docs, graduate students, and other researchers and knowledge domain experts regarding computational methods and architectures, including code development, debugging, parallelization, optimization, and performance tuning; scheduling and resource allocation; and effective use of high-performance storage, high-performance networking, and computational accelerators. Leverage HPC software and application stack, including compilers, scientific libraries, and commercial applications where appropriate. Provide expert diagnosis and resolution of complex technical issues with HPC resources. Assure effective utilization of High Performance Computing (HPC) resources and knowledge domain expertise. Work with faculty, post-docs, and graduate students, providing significant collaboration in their funded and published research. Develop and maintain documentation, including configuration changes, as needed. Participate in efforts to strengthen the HPC user community, such as developing and disseminating whitepapers and best practices documents, and preparing and delivering training.Other contributions to the HPC team may include participating in the investigation of new HPC technologies for use in successors to current HPC facilities, and providing a broad range of expertise in computational middleware, architecture, Grid/Cloud, issues of scale and automation, system and network security and monitoring, high-performance networking, and high-performance storage and clustered file systems.

Education/Experience:

Minimum qualifications include a Master's Degree in Computer Science or related field, or an equivalent combination of education and experience, and eight or more years of job related experience. Master’s or Ph.D. preferred. Required qualifications include expert knowledge of computational methods, architectures, current and emerging technologies, and middleware (e.g. MPICH, LAM, PVM, LSF, Moab, PBS); multiple programming and scripting languages, and code development, debugging, parallelization, optimization, and tuning; scientific libraries and applications (e.g. VASP, LAMMPS, ACML, FFTW, PETc); and high-performance network interconnects (e.g. 10 Gigabit Ethernet, InfiniBand, Myrinet). Success in the position will require excellent communications skills, service orientation, and consistent follow-through; a high degree of motivation; and the ability to work well with faculty researchers and IT professionals while providing technical solutions in an advanced computing environment.

Additional knowledge, skills, capabilities, and experience that are desirable, but not required:

• University or public sector experience, especially in support of research
• Scientific and engineering applications (e.g. Mathematica, Matlab, Fluent, Ansys)
• RedHat Enterprise Linux, Solaris 10/OpenSolaris
• Network distributed services (e.g. DHCP, DNS, NFS, Samba, LDAP, Kerberos)
• System and network security and monitoring
• Experience with vendor negotiation and acquisition in a government procurement environmentParticipation in funded research proposals and/or potential to attract external funding

How to apply for this position:

To be considered, prospective applicants must submit an application (PDF), cover letter and resume to Mr. Neil Bright, neil.bright@oit.gatech.edu.  Please reference PVA #65610.  Select candidates will also be asked to provide three professional reference letters obtained in the past year.