GPU MRI Reconstruction & AI Pipelines Engineer

GAP SOLUTIONS INC; Bethesda (MD); On-site; USD 80,000 - 110,000; Full time

Job summary

GAP SOLUTIONS INC is seeking a full-time software developer in Bethesda, Maryland, to build and maintain GPU-accelerated MRI reconstruction software. The role includes developing data pipelines and supporting compute integrations for advanced medical imaging technologies.

Qualified candidates should hold a degree in computer science or a related field and have proficiency in Python and C++, with experience in GPU programming and software engineering practices. The position offers an opportunity to impact cutting-edge medical research.

Responsibilities

• Develop and maintain GPU-accelerated MRI reconstruction modules in Python and C++.
• Support scanner-to-compute integration bridging scanners with Azure-based compute.
• Build and maintain data ingestion pipelines for AI model training.
• Support real-time data streaming for cardiovascular CT.
• Write software tools 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.
• Participate in code reviews and planning discussions.
• Provide biweekly technical progress reports summarizing tasks.
• Produce software documentation, API references, and user guides.
• Deliver test reports and CI/CD pipeline results.
• Build and deliver Docker images and deployment artifacts as needed.

Skills

Proficiency in Python (NumPy, PyTorch, SciPy)

C++ (C++17 or later)

GPU programming (CUDA, PyTorch GPU operations)

Linux system administration (Ubuntu)

Docker and containerized workflows

Version control (Git/GitHub)

CI/CD pipelines

Automated testing frameworks

Software engineering practices

Education

B.S. or higher degree in computer science, engineering, physics, or related discipline

Job description

GAP SOLUTIONS INC is seeking a full-time software developer in Bethesda, Maryland, to build and maintain GPU-accelerated MRI reconstruction software. The role includes developing data pipelines and supporting compute integrations for advanced medical imaging technologies.

Qualified candidates should hold a degree in computer science or a related field and have proficiency in Python and C++, with experience in GPU programming and software engineering practices. The position offers an opportunity to impact cutting-edge medical research.