Sr Computational Research Support Analyst (AI GPU)
Apply NowCompany: Yale University
Location: Ronan, MT 59864
Description:
Essential Duties
1.Lead interaction with current and prospective Yale faculty users to provide scientific computational expertise to enhance efficiency of research algorithms.2.Partner with faculty to obtain an in depth understanding of current and projected research needs, identify, design/determine, and implement enhancements to the daily operations of the Yale Center for Research Computing (YCRC).3.Identify, investigate and assess new computing technologies (in areas such as hardware, software, and networking) to meet needs of cutting edge research groups at Yale.4.Design and contribute advanced computational and scientific thought to the development of computational sections of faculty research proposals.5.Develop and deliver training programs, seminars, and other outreach activities to a diverse community of faculty, students, and others sharing a common interest.6.Utilize advanced science software to enhance their research program.
Required Education and Experience
Master's Degree in a scientific or computational field plus 6 years of academic or scientific industry experience or equivalent combination of education or experience.
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Position Focus:
The Yale Center for Research Computing seeks a Senior Computational Research Support Analyst to join the Center's interdisciplinary Research Support group and to lead the support for Artificial Intelligence at the Center. Areas of concentration include GPU computing and tools, large language models, and neural networks. The position requires excellent communication skills, the ability to lead an AI-focused team and work within the larger Research Support team, juggle many simultaneous projects, and a can-do attitude. For candidates interested in research, the opportunity exists for extended collaboration with researchers up to 20% time.
This position involves leading a newly formed subgroup of the YCRC that is focused on AI and GPU computing. This group will be responsible for consulting with and advising users of the YCRC's services, who have a wide range of research interests and computational abilities (including faculty, postdocs, and graduate students). Yale is undertaking a major effort in Artificial Intelligence, both in terms of fundamental research as well as applications of AI. These initiatives and researchers will be a focus for this position. Accordingly, the YCRC expects to dramatically expand AI related resources, both hardware, in particular the latest GPUs, as well as growing the number of support positions within the YCRC.
The YCRC supports the entire University, including the Yale School of Medicine and the Faculty of Arts & Sciences and encompasses Yale's High Performance Computing (HPC) clusters with more than 40,000 cores, multiple petabytes of high-performance storage, and technologies for computational science and the analysis, sharing, and management of large-scale research data.
The successful candidate for this position will report to the Center's Director of Arts & Sciences Research Computing.
The Yale Center for Research Computing is a component of the Provost's Office, and is governed jointly by the Vice Provost for Research, the Deputy Dean(s) for Research at the Yale School of Medicine, and the University Vice President for Technology and Campus Services.
Preferred Education, Experience and Skills:
Advanced degree in a scientific field. Experience conducting independent research, leading a technical team, building and tuning AI systems, and with GPUs and HPC clusters.
AI tools: TensorFlow, Keras, PyTorch, LLMs
Computing languages: C, Python, Matlab, R
Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, conda
Teaching, workshops, consulting
Posting Disclaimer
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.
EEO Statement:
University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans. Additionally, in accordance with Yale's Policy Against Discrimination and Harassment, and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Required Skill/Ability 5:
Excellent written and oral communications skills.
COVID-19 Vaccine Requirement
The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies, which may be found here:
https://covid19.yale.edu/health-guidelines
1.Lead interaction with current and prospective Yale faculty users to provide scientific computational expertise to enhance efficiency of research algorithms.2.Partner with faculty to obtain an in depth understanding of current and projected research needs, identify, design/determine, and implement enhancements to the daily operations of the Yale Center for Research Computing (YCRC).3.Identify, investigate and assess new computing technologies (in areas such as hardware, software, and networking) to meet needs of cutting edge research groups at Yale.4.Design and contribute advanced computational and scientific thought to the development of computational sections of faculty research proposals.5.Develop and deliver training programs, seminars, and other outreach activities to a diverse community of faculty, students, and others sharing a common interest.6.Utilize advanced science software to enhance their research program.
Required Education and Experience
Master's Degree in a scientific or computational field plus 6 years of academic or scientific industry experience or equivalent combination of education or experience.
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Position Focus:
The Yale Center for Research Computing seeks a Senior Computational Research Support Analyst to join the Center's interdisciplinary Research Support group and to lead the support for Artificial Intelligence at the Center. Areas of concentration include GPU computing and tools, large language models, and neural networks. The position requires excellent communication skills, the ability to lead an AI-focused team and work within the larger Research Support team, juggle many simultaneous projects, and a can-do attitude. For candidates interested in research, the opportunity exists for extended collaboration with researchers up to 20% time.
This position involves leading a newly formed subgroup of the YCRC that is focused on AI and GPU computing. This group will be responsible for consulting with and advising users of the YCRC's services, who have a wide range of research interests and computational abilities (including faculty, postdocs, and graduate students). Yale is undertaking a major effort in Artificial Intelligence, both in terms of fundamental research as well as applications of AI. These initiatives and researchers will be a focus for this position. Accordingly, the YCRC expects to dramatically expand AI related resources, both hardware, in particular the latest GPUs, as well as growing the number of support positions within the YCRC.
The YCRC supports the entire University, including the Yale School of Medicine and the Faculty of Arts & Sciences and encompasses Yale's High Performance Computing (HPC) clusters with more than 40,000 cores, multiple petabytes of high-performance storage, and technologies for computational science and the analysis, sharing, and management of large-scale research data.
The successful candidate for this position will report to the Center's Director of Arts & Sciences Research Computing.
The Yale Center for Research Computing is a component of the Provost's Office, and is governed jointly by the Vice Provost for Research, the Deputy Dean(s) for Research at the Yale School of Medicine, and the University Vice President for Technology and Campus Services.
Preferred Education, Experience and Skills:
Advanced degree in a scientific field. Experience conducting independent research, leading a technical team, building and tuning AI systems, and with GPUs and HPC clusters.
AI tools: TensorFlow, Keras, PyTorch, LLMs
Computing languages: C, Python, Matlab, R
Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, conda
Teaching, workshops, consulting
Posting Disclaimer
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.
EEO Statement:
University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans. Additionally, in accordance with Yale's Policy Against Discrimination and Harassment, and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Required Skill/Ability 5:
Excellent written and oral communications skills.
COVID-19 Vaccine Requirement
The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies, which may be found here:
https://covid19.yale.edu/health-guidelines