Software Developer, AI Engineer, Machine Learning​/ ML Engineer

Position Objective

The National Heart, Lung, and Blood Institute (NHLBI), Division of Intramural Research (DIR) conducts advanced medical imaging research spanning MRI and CT of the heart and lungs. The NHLBI Laboratory of Imaging Technology seeks a full‑time software developer to build and maintain GPU‑accelerated MRI reconstruction software, scanner‑to‑cloud integration systems, data infrastructure for AI model training, and CT reconstruction for interventional guidance.

These systems serve both research teams within NHLBI and collaborators across the National Institutes of Health.

• Develop and maintain GPU‑accelerated MRI reconstruction modules in Python and C++ using Gadgetron frameworks.
• Support scanner‑to‑compute integration bridging scanners with Azure‑based and on‑premises compute via the MRD/Gadgetron protocol.
• Build and maintain data ingestion pipelines, dataset management, and automated processing workflows for AI model training.
• Support real‑time or near‑real‑time data streaming for interventional cardiovascular CT.
• Write software tools, including solvers, and port prototype code into deployment‑ready software.
• Develop, test, and deploy software for clinical MRI and CT pipelines.
• Commit source code to designated Government repositories (Git Hub) with documentation, inline comments, and unit tests.
• Participate in code reviews, sprint planning, and technical design discussions.
• Provide biweekly technical progress reports summarizing completed tasks and planned work.
• Produce software documentation, including architecture documents, API references, and user guides.
• Deliver test reports and CI/CD pipeline results with each code submission.
• Build and deliver Docker images and deployment artifacts for reconstruction pipelines as needed.

• B.S. or higher degree in computer science, engineering, physics, or related discipline.
• Proficiency in Python (Num Py, PyTorch, Sci Py) and C++ (C++17 or later).
• Experience with GPU programming (CUDA, PyTorch GPU operations, or Triton).
• Familiarity with Linux system administration (Ubuntu), Docker, and containerized workflows.
• Experience with version control (Git/Git Hub), CI/CD pipelines, and automated testing frameworks.
• Strong software engineering practices: code review, documentation, modular design, and test‑driven development.

• Experience with MRI or medical imaging reconstruction software (Gadgetron, BART, Sig Py, or similar).
• Familiarity with ISMRMRD/MRD data formats and the DICOM standard.
• Experience with Azure cloud services (Blob Storage, Container Instances, or equivalent).
• Familiarity with Siemens MRI development environments (ICE/IDEA) or other vendor SDKs.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.