Computational Data Science Research Specialist - 135057

DEPARTMENT OVERVIEW:

The Mission of the San Diego Supercomputer Center is to translate innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them into cyberinfrastructure that solves practical problems across any and all scientific domains and societal endeavors. Cyberinfrastructure refers to an accessible, integrated network of high-performance computing, data, and networking resources and expertise, focused on accelerating scientific inquiry and discovery. With more than 250 employees and $30-50M of revenue a year, SDSC is a global leader in the design, development, and operations of cyberinfrastructure.

SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally distributed system open for all of academia to integrate with. SDSC offers research data services across the entire vertical stack from universally scalable storage to consulting services on FAIR, Big Data, and AI. SDSC offers a rich set of cloud services both on-premise, in the commercial cloud, and as hybrid services across both.

SDSC has three geographic scopes, a national scope supporting cyberinfrastructure for the entire US research and education community, a California scope with a special focus on convergence research that addresses the three dominant threats to CA: Drought, Fire, Earthquakes, and a campus scope focusing on advancing the global impact of SDSC by advancing the research objectives of the UC San Diego faculty, researchers, and students. SDSC impacts researchers at scales from 1,000's to Millions. SDSC annually trains thousands of researchers in cyberinfrastructure tools and software, and supports thousands of individual researchers via Unix accounts on its large HPC systems. SDSC was a leader developing the Science Gateway concept, and continues to be a global leader in its evolution. SDSC operates multiple major such gateways with user communities ranging from the tens of thousands to the millions. SDSC's educational programs includes online courses that have been attended by more than a million students.

SDSC is committed to democratizing access to cyberinfrastructure across all of its geographic scopes. SDSC strives towards a culture that supports our employees to be their best, achieve their goals, and enjoy their lives, both professionally and personally.

SDSC's High-Performance Computing (HPC) Systems Group is responsible for and operates SDSC's supercomputers, storage systems and related infrastructure that cost tens of millions of dollars. Staff are involved in architecting complex, leading edge and large scale supercomputers comprising latest processors and accelerators, interconnects, storage technologies and system software. The group operates large-scale supercomputers and storage systems funded by the NSF under the auspices of the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS), the UCSD campus (e.g., the Triton Shared Compute Cluster) and other entities. 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 HPC Systems group is part of SDSC's Data-Enabled Scientific Computing (DESC) Division.

POSITION OVERVEIW:

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/

1. Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience. Master's degree preferred.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

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