onsite
Vision AI Engineer Intern Lab Automation
AI Engineer
Internship focused on developing high‑performance computer‑vision pipelines for lab automation, leveraging C++, CUDA, and deep‑learning techniques for data augmentation and real‑time image analysis.
About the role
Key Responsibilities
- Design and implement C++/CUDA modules for real‑time image acquisition and processing in laboratory automation systems.
- Develop and integrate deep‑learning models for computer‑vision tasks such as object detection, segmentation, and classification.
- Create data‑augmentation pipelines to expand training datasets and improve model robustness.
- Collaborate with hardware and software teams to optimize end‑to‑end performance and ensure seamless integration with existing lab equipment.
- Conduct experiments, evaluate model accuracy, and document findings for continuous improvement.
Requirements
- Strong programming skills in C++ and experience with CUDA or other GPU programming frameworks.
- Solid understanding of computer‑vision concepts and deep‑learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with data‑augmentation techniques and image preprocessing pipelines.
- Ability to work independently, troubleshoot complex problems, and communicate results effectively.
- Currently pursuing a degree in Computer Science, Electrical Engineering, Robotics, or a related field.
Skills
ccudacomputer visiondeep learning