FAS Research Computing offers a unique environment for its staff to explore new technology, engage with world-class researchers and students, and work in a unique, exciting, cutting-edge Research/HPC environment. Faculty of Arts and Sciences RC provides not only high-performance computing and research support, but also training, engagement, continued learning, and special projects.
FASRC seeks a diverse team of highly-motivated and engaged personnel to make our mission a success and make our team a pleasure to work within. Come join us and enjoy the benefits of working for Harvard University in an exciting and ever-growing research computing group.
Department Description
Harvard University's Research Computing continues to evolve, expand services, and support to its leading research faculty and their collaborators around the world. These services include maintaining a Top 100 academic high-performance computing cluster, cloud computing, virtual machines, storage, databases, instrumentation core facility workstations, and other development platforms.
We directly engage with researchers through help requests, monitoring, office hours, training, and in-depth consultations. Research Computing has numerous other successful collaborations, including building the MGHPCC (http://www.mghpcc.org/) in Holyoke, MA with leading partner universities. It is with these and other institutions that we launched the NSF-funded NESE project (http://nese.mghpcc.org) which creates a regional data science repository, as well as the New England Research Cloud (http://nerc.mghpcc.org) which creates a collaborative on-prem regional cloud framework. Research Computing at Harvard has a track record of building partnerships to accelerate research and collaboration.
We are committed to cultivating not only the diversity of our faculty, staff, and students but also in developing an inclusive culture that is vibrant, engaging and encouraging of innovation as well as intellectual debate. We believe creating and maintaining an inclusive workplace allows employees from all backgrounds and walks of life to achieve their fullest potential. We also believe an inclusive culture is one that accepts, values and views as strength the difference we all bring to the workplace.
Current Staff Openings
65742BR - Sr. Research Computing Systems Engineer
Reporting to the Associate Director of Operations and System Engineering and working within that FAS RC group, this position will contribute to the design, implementation, and maintenance of essential IT infrastructure, both for the entire research community as a whole and individual labs.
The Senior Research Computing Systems Engineer will also be involved in the operation and management of data centers and will interact with vendors and members of the Harvard research computing community. Responsibilities include but are not limited to investigation into and mitigation of compute system level problems, monitoring of system health, data center work, use of quality control techniques to keep service interruption to a minimum, and creative evaluation of client compute resources for appropriateness and efficiency. The position will be able to manage multiple projects, lead and train junior members of the group when necessary, and provide knowledge and support to the department.
More details/apply here: Harvard Careers
Current Part-Time/Term Openings
Research Computing Facilitator - Entry Level (Hybrid, 14 hours per week)
As a Research Computing Facilitator, you will work closely with FASRC’s staff scientists and engineers to provide daily support to Cannon users (faculty, researchers, and students) through tickets, consultation, and documentation to leverage HPC resources efficiently. This position is a 6-month term appointment, with the possibility of extension based on performance and availability of funding.
This position will involve working in HPC-related areas that includes, but is not limited to, triaging access requests, guiding users on executing their workflow on a shared Linux environment, installing scientific software, and helping users with issues related to using an HPC cluster. The position will offer you the opportunity to learn HPC-related technologies like parallel computing with MPI and GPUs, Slurm scheduling system, parallel file systems, and large scale HPC cluster deployment and maintenance. We use Slack and Zoom to facilitate close collaboration and communication with each other.
This is a part-time position with flexible hours and a hybrid in-person/remote work schedule option to be agreed upon at hire. The selected candidate will periodically need to be on campus as business needs require. All remote work must be performed in a state where Harvard is registered to do business (CA, CT, GA, IL, MA, MD, ME, NH, NY, NJ, RI, WA, VT, and VA).
Role Responsibilities
- Triage tickets and manage ticket queue by delegating tickets to appropriate personnel
- Engage with our users on a weekly basis during office hours (Wednesdays, 12-3 PM) to help with issues related to getting started on an HPC cluster
- Troubleshoot user issues related to executing workflows in a shared Linux environment
- Assist in creating new documents and updating existing documentation to effectively support our users
- Assist staff in conducting training sessions for helping users get started on the cluster and educate them on leveraging various resources offered by FASRC efficiently
Basic Qualifications
- Excellent interpersonal, communication, and organizational skills
- Experience with documentation
- Enjoys problem solving
- Familiarity with Unix/Linux, shell environments, and shell scripting
- Familiarity with version control tools (SVN, Git/Github)
- Able to learn quickly and help a variety of users with a wide range of technical issues
- Able to work with a high degree of independence, but also a team player who can work with the research computing staff to provide effective solutions for researchers across campus
Additional Qualifications
- Familiarity with Python and Python for research (e.g., NumPy, pandas, scikit-learn, Jupyter)
- Familiarity with visualization tools and computational science/simulations
- Experience working in an HPC environment, including the use of the command line interface
- Solid understanding of HPC architectures and environments (CPUs, GPUs, storage, databases), including the use of the Slurm batch manager for job submission
- Knowledge of compilers
- Machine learning and data analytics frameworks
- Familiarity with Container frameworks such as Docker and Singularity.
- Familiarity with benchmarking frameworks
- Ability to understand complex technical and scientific topics
Additional Information
- This position is a 6-month term appointment, with the possibility of extension based on performance and availability of funding.
- We regret that Harvard University is unable to provide work authorization and/or visa sponsorship for this position.
- Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values. We are committed to cultivating not only the diversity of our faculty, staff, and students but also in developing an inclusive culture that is vibrant, engaging and encouraging of innovation as well as intellectual debate. We believe creating and maintaining an inclusive workplace allows employees from all backgrounds and walks of life to achieve their fullest potential. We also believe an inclusive culture is one that accepts, values and views as strength the difference we all bring to the workplace.
- We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
EEO Statement:
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
