Artificial Intelligence Engineer - 129166

UCSD Layoff from Career Appointment: Apply by 04/10/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 04/12/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance.

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.

This position 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 medium to large projects of broad scope and complexities. They will design, develop, and optimize components / tools for major HPC / data science / CI projects in diverse research application areas, resolve complex research and technology development and integration issues as well as give technical presentations to associated research and technology groups and management. They will also evaluate new hardware and software technologies for advancing complex HPC, data science, CI projects. The incumbent may represent the organization as part of a team at national and international meetings, conferences and committees. They will assist in the design, implementation and recommend new hardware and software technologies for advancing complex HPC, data science, CI projects. They may lead a team of research and technical staff.

The AI Engineer will engage in the following activities:

For more information, please visit www.sdsc.edu.

• Proficiency in machine learning and deep learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Advanced knowledge of latest architectures, tools, approaches for AI/ML/DL models.

• Demonstrated experience with building, evaluating, and deploying machine/deep learning models and systems to solve complex problems.

• Experience working with large-scale and complex data to support data analytics and AI activities. Experience with distributed computing frameworks (e.g., Hadoop, Spark). Experience with cloud computing platforms (e.g., Amazon Web Services, Microsoft Azure).

• 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.

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

• Must be willing and able to travel.

Pay Transparency Act

Annual Full Pay Range: $112,100 - $216,500 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $53.69 - $103.69

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

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.

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