The Yale Center for Research Computing seeks Computational Research Support Analysts to join the Center’s interdisciplinary Research Support group and to continue to provide best-in-class support to researchers in both general and discipline-specific areas. The successful candidate will work with computational research scientists in efforts to support researchers across the University. Areas of support include high performance parallel computing, scientific computation, user education and training, computational collaborations, and large-scale data management. The position requires excellent communication skills, the ability to work within a team and juggle many simultaneous projects, and a can-do attitude. The position will have the option for a hybrid remote work arrangement (2-3 days a week on campus). For questions about the position, contact Kaylea Nelson (kaylea.nelson@yale.edu).
Preferred Education, Experience and Skills:
- Experience with building and tuning AI systems
- Experience with GPUs and HPC clusters
- AI tools: TensorFlow, Keras, PyTorch, Large Language Models
- Computing languages such as: C, Python, Matlab, R
- High performance computing in a linux environment
- Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, conda
- Teaching of courses, workshops, consulting