As a member of the Research Computing Applications team engage researchers as partners to co-create and co-learn research activities and relevant advanced computing capabilities to provide solutions to facilitate and transform research. Work directly with faculty, staff, and graduate students on complex projects that require in-depth knowledge of scalable parallel programming (MPI, OpenMP, SIMD, GPU) supporting efficient utilization of Boston University's HPC resources. Provide support for the application of container technology and use of regional and national resources to research workflows. Install, document, and validate existing researcher facing software packages. Provide outreach and training to the university research community. Collaborate with regional and national research computing peers on the fields landscape and best practices.
-Minimum of Master's Degree in relevant post-secondary education and 3 years of relevant work experience or Doctorate Degree and 1 year of relevant work experience.
- Minimum of 3 years experience and in-depth knowledge of programming in parallel environments (e.g. MPI, OpenMP, and CUDA or OpenCL).
- Demonstrated proficiency in multiple programming languages, particularly C, C++, MATLAB, Python and strong competencies in algorithms and numerical analysis.
- Ability to quickly learn new programming languages and tools.
- Proficiency with parallel/distributed computing on HPC systems (experience with National SuperComputing centers a plus).
- Fluency in Linux scripting and software package installation.
- Strong analytical and personal skills with an ability to manage multiple projects and deliverables, strong attention to detail.
- Excellent organizational and communication skills, and the ability to work well both independently as well as in a team.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
Internal Number: 8967/ist
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