UCSD Layoff from Career Appointment: Apply by 11/08/19 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 11/19/19. Eligible Special Selection clients should contact their Disability Counselor for assistance.
As an Organized Research Unit of UC San Diego, the San Diego Supercomputer Center (SDSC) is considered a leader in data-intensive computing and cyberinfrastructure, providing resources, services, and expertise to the national research community, including industry and academia. Cyberinfrastructure refers to an accessible, integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery.
SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC launched Comet, a petascale supercomputer that joins the Center’s data-intensive Gordon cluster. SDSC is a partner in XSEDE (eXtreme Science and Engineering Discovery Environment), the most advanced collection of integrated digital resources and services in the world.
The SDSC Data Platform project build computational practices for data science application areas. These practices may involve a blend of data management and integration techniques, data analytics methods and software libraries, use of computational workflows, cloud computing and visualization software along with administration of data systems and platforms in including Spark, STORM, and Hadoop.
The incumbent will apply advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development which involve in-depth evaluation of variable factors impacting large projects of broad scope and complexities, design, develop, and optimize components/tools for major HPC/data science/CI projects, resolve complex research and technology development and integration issues, and give technical presentations to associated research and technology groups and management.
The incumbent will also evaluate new hardware and software technologies for advancing complex HPC, data science, CI projects, present novel research outcomes and represents the organization at national and international meetings, conferences and committees, assist in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects, and lead a team of research and technical staff.
In addition, they will serve as a technical lead in the research and development of multiple research projects in computational data science, enhance and develop techniques for modeling, querying and integrating scientific data including biological, social media and environmental sensor information, and work with international science collaborators to develop requirement specifications for their data science and computing tasks, and develop a research and development plan to execute the tasks. Develops architectures for data storage, access, integration by storing the information on multiple standard DBMS platforms including Oracle, DB2, PostGres, SQL Server, MySQL etc., as well as semistructured and textual data using XML, graph and Text data management platforms.
The incumbent will also further UCSD's educational goal of becoming a worldwide leader in educational innovation, by designing and developing online training programs and hands on material on complex data science and computing topics, to accelerate wide spread use of Computer Science tools and infrastructure in diverse fields. Will use data mining and graph analytics methods and software libraries, computational workflows, cloud computing middleware and visualization software as well as administer data systems and platforms in including Spark, STORM, and Hadoop on an application basis.
Additionally, the incumbent will interact with end-users, to assess the data science and computational capabilities of users; collaborate with scientific research faculty to develop both new research and novel data science applications that are maximally useful for the science research community; collaborate with other local and national and international online science data resources to optimize for interoperability with these sites; and interact with other Computer Science researchers in the field to incorporate or extend their research tools for our applications.
For more information, please visit www.sdsc.edu.
Bachelor's Degree in Computer/Computational/Data Science, or Domain Sciences with computer/ computational/data specialization; or equivalent experience.
Highly advanced skills, and 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 of large-scale scope.
Advanced 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.
Demonstrated experience with Amazon Web Services (AWS) or Microsoft Azure Cloud services.
Advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC/ data/CI.
Strong experience with Big Data, Cloud computing technologies, NoSQL systems, or Lambda architectures.