SENIOR RESEARCH COMPUTING APPLICATIONS & DATA SPECIALIST, Information Services & Technology, Research Computing
Boston University
- Boston, MA
- Permanent
- Full-time
- Provide necessary training and consulting to support efficient utilization of Boston University's High-Performance Computing resources.
- Install, document, and validate existing researcher-facing software packages.
- Provide outreach and training to the university research community.
- Collaborate with regional and national research computing peers on the fields landscape and best practices.
- Time Off: In addition to generous time off, BU employees have a paid intersession break, and 13 paid holidays.
- Retirement: University-funded retirement plan with full vesting after 2 years of eligible service.
- Tuition Assistance Program: Competitive tuition assistance program for yourself and family members.
- Transportation: BU offers a discounted MBTA pass as well as additional options to assist employees in their daily commute.
- Wellness: BU offers programs and classes at little or no cost, including workshops and personal counseling, please check out https://www.bu.edu/wellness/ for more information!
- Culture & Community: BU also offers access to discounts or free admission to various city art/cultural institutes around Boston.
- Demonstrated proficiency in multiple programming languages, particularly Python, C or C++, machine learning packages (PyTorch, Tensorflow, etc.)and strong competencies in algorithms and numerical analysis.
- Proven understanding and professional experience applying machine learning/deep learning concepts and techniques such as random forest, support vector machines, RNNs, CNNs, LSTM, etc.
- GPU programming experience.
- Ability to quickly learn new programming languages and tools.
- Strong analytical skills required with an ability to manage multiple projects and deliverables.
- Excellent communication and documentation skills, and the ability to work well both independently as well as in a team.
- The following Qualifications are preferred, if you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.
- Familiarity with container technologies (Kubernetes, Docker, Singularity/Apptainer, etc.)is desirable.
- Experience in utilizing cloud services for HPC and Research Computing is highly desirable.
- Experience utilizing and scripting for Linux HPC clusters highly desired.
- Demonstrated proficiency in multiple programming languages, particularly Python, C or C++, machine learning packages (PyTorch, Tensorflow, etc.)and strong competencies in algorithms and numerical analysis.
- Proven understanding and professional experience applying machine learning/deep learning concepts and techniques such as random forest, support vector machines, RNNs, CNNs, LSTM, etc.
- GPU programming experience.
- Ability to quickly learn new programming languages and tools.
- Strong analytical skills required with an ability to manage multiple projects and deliverables.
- Excellent communication and documentation skills, and the ability to work well both independently as well as in a team.
- The following Qualifications are preferred, if you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.
- Familiarity with container technologies (Kubernetes, Docker, Singularity/Apptainer, etc.)is desirable.
- Experience in utilizing cloud services for HPC and Research Computing is highly desirable.
- Experience utilizing and scripting for Linux HPC clusters highly desired.