Cmptl and Data Sci Rsch Spec 3/4 - 132162

DEPARTMENT OVERVIEW:

The Computer Science and Engineering (CSE) department embodies the university's tradition of excellence as a world-class leader in computer science and engineering education and research. Ranked in the top 15 nationwide, the department is dedicated to research, education and overall excellence.

CSE has approximately 80+ faculty FTE, 20+ professional researchers, 53+ staff in career/casual titles, 300+ tutors, and 175+ TAs. There are over 1,900 undergraduate students enrolled in 3 majors, with annual enrollments of 25,000+. The department has a graduate education program with over 1,500 students (~400 PhD students and ~1,100 Master's students).

The Laboratory of Emerging Intelligence (LEI) is created to design and deploy next-generation AI (Artificial Intelligence) systems/platforms and is hosted by the Computer Science and Engineering (CSE) department. The CSE department is a world-class leader in computer science and engineering education and research. LEI will be the home for state-of-the-art research and development in next-generation AI systems and platforms.

POSITION OVERVIEW:

The scope of this position is wide-ranging, extensive experience with software and platform architecture/development, with relevant domain science knowledge where applicable, to design, develop and deliver the AI applications, platforms and systems. The incumbent will possess research and technology expertise in multiple aspects of creating software platforms and AI programming environments. The incumbent will represent the organization at national and international meetings, conferences and committees.

They will advise on and resolve highly complex research and technology projects/issues, present research and technical briefings to senior management, faculty and students, contribute to the research and technical direction in one or more technical specialties, and perform advanced research and technology development to contribute to design of future AI systems.

• Bachelor's degree in Computer Science or Data Science or related area with computer science or equivalent specialization and/or equivalent experience/training.

• Must have a minimum of five (5) years of experience designing systems that enable end-user applications.

• Advanced knowledge of HPC / data science / CI.

• Highly 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 of large-scale scope.

• Demonstrated ability to regularly, effectively communicate with unit-level management.

• Demonstrated ability to initiate research proposals and acquire funding.

• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.

• In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.

• Self-motivated and works independently and as part of a team.

• 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.

• In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.

• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs.

• Demonstrated 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.

• Proven ability to work with data curators and guide them in the construction of high-quality data sets.

• Proven ability and demonstrated experience to work with data in domains such as health, science, law, education or business and create AI platforms to enable applications.

• Job offer is contingent upon satisfactory clearance based on Background Check results.

• Occasional evenings and weekends may be required.

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community.

UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California's Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20
For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.