Computational Data Science Research Specialist - 120658
#120658 Computational Data Science Research SpecialistExtended Deadline: Tue 2/14/2023
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UCSD Layoff from Career Appointment: Apply by 12/16/22 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 1/3/23. Eligible Special Selection clients should contact their Disability Counselor for assistance.
Job posting will remain open until a suitable candidate has been identified.
The San Diego Supercomputer Center (SDSC) is a world leader in using, innovating and providing cyberinfrastructure to enable advances and new discovery in science and engineering. Focusing on data-oriented and computational science and engineering applications, SDSC serves as an international resource for data cyberinfrastructure through the provision of software, hardware and human resources in multidisciplinary science and engineering, and is a leading national cyberinfrastructure center to the National Science Foundation (NSF) and broader community.
SDSC’s User Services group is responsible for frontline user support of SDSC’s supercomputers, storage systems and related infrastructure that cost tens of millions of dollars. Staff are involved in installing applications and supporting users of complex, leading edge and large-scale supercomputers comprising latest processors and accelerators, interconnects, storage technologies and system software. The group supports large-scale supercomputers and storage systems funded by the NSF under the auspices of the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS). These systems support tens of thousands of users from all the domain sciences and engineering disciplines from the UCSD campus, national academic institutions, and international communities. Various industries also utilize these supercomputers. The User Services group is part of SDSC’s Data-Enabled Scientific Computing (DESC) Division.
The Computational Data Science Research Specialist will apply skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. The incumbent will develop and optimize a variety of computational, data science, and CI research tools and components; perform research on current and future HPC, data, CI technologies, and hardware and software projects; work on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate-large scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements; as well as provide advanced support for the full range of complex problems associated with writing, developing, debugging, profiling and running HPC and data intensive applications. This involves in-depth analysis of the factors impacting user code performance and complex troubleshooting procedures to isolate problems in a HPC environment. Additionally, they will lead the development of containerized solutions for enabling research workflows on HPC resources and work closely with scientific applications lead, user services management, and EOT director to develop and deliver training, documentation, and workshops. The incumbent's primary role is to support SDSC's Expanse, Voyager, and NRP resources, but they will be expected to assist in supporting other SDSC systems as well that may become part of SDSC's offered resources.
For more information, please visit: https://www.sdsc.edu/
This position may be eligible for a Hybrid flexible work arrangement, which could include a non-standard work schedule, and/or the ability to work off-site part of the time.
Bachelor’s degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience. Master’s degree preferred.
Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools. Advanced knowledge of modern software engineering techniques, including version control, documentation, testing, design, requirements gathering and deployment.
Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base. Experience working in high performance virtualized environments.
Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.
Advanced skills and demonstrated experience with one of the following: 1) Parallel programming using MPI/OpenMP/hybrid approaches; 2) HPC application development using C/C++/FORTRAN; and 3) Application of data analytics tools/frameworks like Hadoop, Spark, and R.
- Demonstrated ability to work with common data science/machine learning environments including but not limited to Matlab, R, Python, TensorFlow, and PyTorch.
Job offer is contingent on clear Background Check.
Travel may be required.
Some afterhours work for upgrades, and planned and emergency systems outages that may occur.
Pay Transparency Act Full Salary Range: $63,400 - $142,800 Annually
The University of California, San Diego is required to provide a reasonable estimate of the compensation range for this role. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. The full salary range for this position is defined as the Full Pay Range. The budgeted salary or hourly range that the University reasonably expects to pay for this position defined as the Expected Pay Scale. Placement within the Expected Pay Scale is determined by internal equity, relevant qualifications, and collective bargaining agreements (when applicable).
Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).
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