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Software Engineering Intern Medical Imaging & AI Systems
NEURALTRAK, INC
- San Jose, Arizona, United States
- San Jose, Arizona, United States
Über
Medical imaging
Computer vision
AI reconstruction
C# / WPF application development
Python-based image processing
GPU computing
FDA-oriented software engineering practicesThis internship is designed for candidates who want hands-on experience building real medical imaging systems in a fast-paced startup environment.ResponsibilitiesDepending on background and interests, interns may contribute to:
Medical image processing workflows
C# desktop application development (WPF/MVVM)
Python-based reconstruction pipelines
AI inference and data processing tools
Visualization and UI/UX features
System integration and testing
Automated testing and CI/CD infrastructure
Research prototypes and proof-of-concept tools
Lab setup and data acquisition support
Engineering documentation and design reviewsExamples of projects include:
Fluoroscopy image processing
3D reconstruction visualization
Logging and debugging infrastructure
Workflow automation tools
Geometry calibration tools
Image stitching prototypes
Performance optimization
Medical imaging data managementQualificationsPreferred qualifications:
Pursuing BS/MS/PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, or related field
Strong programming skills in at least one language:
C#
C++
Python
Familiarity with software engineering fundamentals
Strong problem-solving skills
Comfortable learning independently in a startup environmentBonus experience:
Medical imaging
Computer vision
AI / deep learning
CUDA / GPU programming
WPF or desktop UI development
OpenCV, PyTorch, ITK, or VTK
Git/GitHub workflows
Scientific computingWhat You Will LearnInterns will gain exposure to:
Real-world medical device software development
FDA-oriented engineering workflows
Agile development in a startup environment
End-to-end imaging pipeline development
Cross-functional engineering collaboration
Design reviews and technical documentation
Research-to-product translationInternship Details
Location: On-site
Duration: Flexible
Hours: full-time
Compensation: Based on experience and availabilityHigh-performing interns may be considered for future full-time opportunities. recblid r8cfakfeaf9hzdmc2klta8mp6axxs9
Sprachkenntnisse
- English
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