Job Description:

HPC Application Scientist/Specialist

Brown University Computing and Information Services

Working with the User Support Group within the Center for Computation and Visualization (CCV), the HPC Application Scientist/Specialist is responsible for providing high level support for Brown researchers and their collaborators in the life, physical or social sciences.  This includes installing, debugging and maintaining domain specific scientific applications, and understanding best use practices needed to take full advantage of the Universityâ™s high performance computing (HPC) resources.  The Application Specialist is also responsible for helping users adapt to a production shared resource, its scheduling system, and its high performance data storage systems.  This position is also expected to help produce and present workshops and technical presentations in support of CCV activities.  Other responsibilities include providing parallel coding support, adapting serial codes to effectively use CCV resources, and provide new and improved web documentation and functionality to the centers clients.

Qualifications:

Minimum Qualifications

The successful candidate, as a minimum, should have the following background: 

• An advanced science degree with strong computational emphasis (exceptional undergraduate work or experience may be an acceptable substitute)
• 1 year of relevant experience
• Advanced knowledge of Linux/UNIX systems and shell scripting
• Experience building , installing and maintaining open source software
• Strong debugging and trouble shooting skills
• Experience with distributed parallel computing architectures and software systems
• High professional standards with the ability to manage competing requirements in a diverse user population
• Excellent interpersonal, oral and written communication skills with strong analytical ability

Desirable Qualifications

Candidates with some or all of the following qualifications are highly preferred:

• Experience with parallel programming models (e.g., use of OpenMP, MPI, Co-Array Fortran, Unified Parallel C, etc.)
• Experience with GPGPU computing
• Experience with MATLAB, numpy, R, Python
• Experience with parallelization of serial computational applications
• Experience working with an institution wide High Performance Computing environment and associated scheduling software
• Experience with cloud computing software and services
• Experience with scientific visualization in one or more science domains

All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown.

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Submission Guidelines:

Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

Still Have Questions?

If you have any questions you may contact employment@brown.edu.

EEO Statement:

Brown University is an E-Verify Employer.

Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status.