AI Research Computing Initiatives Lead

Boston University

Boston (MA)

Hybrid

USD 120,000 - 130,000

Full time

8 days ago
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Benefits offered by this job

Time Off: 13 paid holidays
Retirement plan with full vesting
Tuition Assistance Program

Job summary

Boston University IS&T seeks a Manager to lead AI & Research Computing Initiatives within Research Computing Services. Set and drive the roadmap for AI-enabled workloads, GPUs, containers, and MLOps, coordinating infrastructure support for BU researchers and serving as a bridge to the academic community.

You will supervise the RCS team, partner with research leaders, translate needs into plans and budgets, and help advance BU's cutting-edge academic computing. Hybrid work is available.

Qualifications

  • Experience leading AI or ML research computing strategy.
  • Knowledge of GPU capacity planning and MLOps tooling.
  • Experience coordinating technical projects across teams.
  • Experience supervising staff, setting priorities and hiring.
  • Experience creating operational reports and workflows.

Responsibilities

  • Set and drive the technical roadmap for AI-enabled research computing.
  • Coordinate infrastructure support, data pipelines, and model serving.
  • Lead daily work, incident management, and service requests for RCS.
  • Supervise and develop the team, manage delivery and hiring.
  • Create reports on system utilization and operational metrics.
  • Coordinate training and documentation for RCS staff.

Skills

AI strategy
ML
research computing
infrastructure planning
GPU capacity planning
containerized workflows
MLOps tooling
cross-functional coordination
staff supervision
operational reporting

Job description

Boston University IS&T seeks a Manager to lead AI & Research Computing Initiatives within Research Computing Services. Set and drive the roadmap for AI-enabled workloads, GPUs, containers, and MLOps, coordinating infrastructure support for BU researchers and serving as a bridge to the academic community.

You will supervise the RCS team, partner with research leaders, translate needs into plans and budgets, and help advance BU's cutting-edge academic computing. Hybrid work is available.

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