The Yale Center for Research Computing (YCRC) seeks to provide best-in-class support with a focus on Artificial Intelligence and secure computing environments, and to expand necessary resources, particularly the latest GPUs, to support the university's major effort in Artificial Intelligence.
Requirements
- Extensive ability working in Linux environment.
- Mastery of programming in at least one language such as Python or C.
- Knowledge of software building and installation: e.g. make, autoconf, etc.
- Experience with building and tuning AI systems.
- Experience with GPUs and HPC clusters.
- AI tools: TensorFlow, Keras, PyTorch, Large Language Models
- Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, Conda
Responsibilities
- Provide best-in-class support with a focus on Artificial Intelligence and secure computing environments (e.g. NIST 800-171 and HIPAA).
- 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).
- Collaborate with faculty and researchers to provide scientific computational expertise to enhance efficiency of research algorithms.
- Interface with faculty to solicit requirements on how best to enhance the daily operations of the Yale's Center for Research Computing (YCRC).
- Work with the HPC engineering team to implement these operational enhancements.
- Provide technical support, computing assistance, and training to YCRC users primarily in the university's main campus departments in the natural and social sciences and engineering.
- Investigate new computing technologies (in areas such as hardware, software, and networking, depending on the candidate's interests and expertise).
Other
- Excellent communication skills, the ability to work within a team and juggle many simultaneous projects, and a can-do attitude.
- Self-starter. Demonstrated ability to juggle multiple projects/collaborations simultaneously.
- Excellent written and oral communications skills.
- Bachelor's degree in a scientific or computational field plus two years of academic or scientific industry experience.
- 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.
