BU's Research Computing Services (RCS) group currently has two openings, described below, but please also check back here in the future or at BU's HR jobs site for more opportunities.

BU Research Computing Services Overview

For 40 years, RCS has provided consulting, training, and infrastructure support to thousands of researchers and students on the Charles River and Medical Campuses. RCS supports a wide range of disciplines from the Physical Sciences and Engineering to recently emerged computational communities such as Biostatistics, Bioinformatics, Genomics, Neuroscience, Machine Learning, Public and Global Health, Economics, Finance, Social Sciences, Microbiology, and Infectious Diseases. RCS manages the University’s Shared Computing Cluster (SCC) a Linux cluster with over 28,000 CPU cores, 300 GPUs, and 12 PB of disk for research data. RCS serves 3000 researchers in 1200 projects from 90 departments and centers at the University. In addition, 50 courses from 26 BU academic departments use the SCC.

Boston University is a founding member of the Massachusetts Green High-Performance Computing Center (MGHPCC) along with Harvard, MIT, Northeastern and the University of Massachusetts. The MGHPCC is a research computing data center which includes 33,000 square feet of computer room space optimized for high performance computing systems, a 19MW power feed, and a high efficiency cooling plant that can support up to 10MW of computing load.

RCS can facilitate access to regional and national  systems such as NSF ACCESS, DOE systems, and the New England Research Cloud (NERC). BU is a lead partner  in The Massachusetts Open Cloud Alliance (MOC-A), a collaboration of industry, the open-source community, research IT staff, and systems researchers. 

Boston University is one of the leading private research and teaching institutions in the world, and one of the largest employers in the city of Boston. With over 35,000 undergraduate and graduate students from more than 130 countries, 10,000 faculty and staff, 17 schools and colleges, and 300 programs of study, our three campuses lead the way in world-class education and innovative research. BU has a rich legacy of serving both greater Boston and the world community.

Boston University’s policies provide for equal opportunity and affirmative action in employment and admission to all programs of the University.

For more information about the Research Computing Services group, please visit rcs.bu.edu.

To learn more about being an employee at Boston University, please visit www.bu.edu/hr/careers.

Manager, AI & Research Computing Initiatives, IS&T Research Computing

Salary: 120,000.00 - 130,000.00

Job Location: Boston, Massachusetts, United States

Job Description:

Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experience to join our innovative and inclusive community. Join us as the Manager, AI & Research Computing Initiatives, where you will lead IS&T's strategy and planning for artificial intelligence in research computing within Research Computing Services (RCS). You will set and drive the technical roadmap for AI-enabled research computing, coordinate the facilitation, technology, and infrastructure support RCS provides to Boston University researchers, and serve as the primary technical bridge between IS&T and the University's academic and research community. As part of RCS, you will supervise the team executing this work day-to-day and partner with research computing leadership on the broader research computing strategy, specifically representing the AI/ML dimension. This position is eligible for a hybrid work schedule.

You Will:

  • Set and drive the technical roadmap for AI-enabled research computing, including GPU and accelerator capacity planning, containerized and AI workflows, and MLOps tooling.
  • Anticipate emerging compute, data-pipeline, and model-serving needs; translate them into infrastructure plans; and serve as IS&T's internal resource on AI infrastructure. Coordinate RCS staff daily work on research projects, incident management, and service request fulfillment.
  • Follow up on requests and incidents at risk of becoming overdue, and coordinate across IS&T to ensure the necessary support and engagement are in place from technical units and research groups.
  • Supervise, mentor, and develop the team executing this work by setting priorities and workload, managing service delivery, and supporting performance management, professional development, hiring, and onboarding.
  • Create annual, monthly, and ad hoc resource reports on system utilization, storage services, buy-in utilization, and other operational metrics.
  • Provide business process analysis for research project workflows, including large projects hosted on Secure Research Enclaves or other regulated research systems, and engage with RCS Operations on chargeback and service models as needed.
  • Coordinate academic and non-academic training provided by RCS staff, including synchronous and asynchronous training and video tutorials.
  • Coordinate and manage documentation updates on RCS TechWeb pages and other RCS documentation sources.

Required Skills

You Will Have:

  • Experience developing or leading AI, machine learning, research computing, or advanced computing infrastructure strategy and roadmaps.
  • Knowledge of GPU and accelerator capacity planning, containerized and AI workflows, data pipelines, model-serving needs, and MLOps tooling.
  • Experience coordinating technical projects, incident management, service requests, and cross-functional support across technical and research groups.
  • Experience supervising and developing staff, setting priorities and workload, managing service delivery, and supporting hiring and onboarding.
  • Experience creating operational reports, analyzing business processes, and developing workflows for research computing or regulated research environments.

Bonus Qualifications:

  • If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn.
  • Experience supporting AI-intensive, grant-funded research or working directly with faculty, research computing champions, and research labs.
  • Experience with Secure Research Enclaves, regulated research systems, chargeback models, or research computing service models.
  • Experience coordinating synchronous and asynchronous technical training, video tutorials, and technical documentation.

Senior Research Computing Applications & Data Specialist, IS&T Research Computing

Salary: 120,000.00 - 130,000.00

Job Location: Boston, Massachusetts, United States

Job Description:

Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experience to join our innovative and inclusive community.

Join us as a Senior Research Comp Apps & Data Specialist where you will engage researchers as partners to co-create and co-learn research activities and relevant advanced computing capabilities that facilitate and transform collaborative, interdisciplinary research. You will also work directly with faculty, staff, postdoctoral researchers, and graduate and undergraduate students across the College of Engineering, the Computer Science Department, and related research communities on complex projects requiring advanced knowledge of machine learning and deep learning algorithms, frameworks, and accelerator technologies.

As part of the Research Computing Applications team, you will report to the Director of Research Computing & Digital Strategy and work with faculty, staff, postdoctoral researchers, and graduate and undergraduate students across the College of Engineering, the Computer Science Department, and related research communities.

You Will:

Engage researchers as partners to co-create and co-learn research activities and relevant advanced computing capabilities that facilitate and transform collaborative, interdisciplinary research.

Work directly with faculty, staff, postdoctoral researchers, and graduate and undergraduate students across the College of Engineering, the Computer Science Department, and related research communities on complex projects requiring advanced knowledge of machine learning and deep learning algorithms, frameworks, and accelerator technologies.

Provide in-depth consulting, training, and mentoring to support efficient use of Boston University's High-Performance Computing resources, including the Shared Computing Cluster, the MGHPCC AI Computing Resource (AICR) — a landmark multi-institution AI computing cluster at the Massachusetts Green High-Performance Computing Center — and the MOC Alliance, BU's open-source public cloud initiative.

Install, document, and validate researcher-facing software packages, and deliver outreach, tutorials, and workshops that build AI and ML capability across the university research community.

Collaborate with regional and national research computing peers to stay current with the field's landscape and best practices and contribute to workforce development efforts that grow the pipeline of skilled research computing and AI consultants.