Product Engineering Intern at Topcon… · La Jolla

Summary: Topcon Healthcare is a company focused on solving societal challenges through innovative healthcare solutions. They are seeking a highly motivated intern to support the Primary Care product engineering team, gaining hands-on experience in product management and medical imaging software development. Responsibilities: - Assist in developing and evaluating image quality metrics for retinal imaging, including sharpness, illumination, field-of-view coverage, and artifact detection - Analyze how image quality impacts downstream performance (e.g., AI outputs, interpretability, clinical usability) - Compare traditional computer vision approaches and lightweight machine learning techniques for assessing image quality - Synthesize findings into clear, decision-oriented recommendations for product and data strategy - Explore offline methods to detect common capture failure modes (e.g., blur, motion artifacts, poor alignment) - Support concept-level analysis of how capture guidance or feedback signals might improve usability in non-specialist settings - Document tradeoffs between algorithmic complexity, usability, and system constraints - Support product management in maintaining software design documentation within a regulated Quality Management System (QMS) - Assist with requirements traceability, risk considerations, and verification planning for software-related features - Gain exposure to how product, engineering, and quality teams collaborate in a regulated medical device environment Required Qualifications: - Currently pursuing (or recently completed) a graduate degree in engineering, electrical engineering, computer science, physics, or a related technical field - Strong analytical and problem-solving skills, with attention to detail - Proficiency in Python and familiarity with data analysis workflows - Strong written and verbal communication skills; ability to clearly document technical work Preferred Qualifications: - Exposure to medical imaging, computer vision, or machine learning (e.g., CNNs, ViTs, image analysis) - Familiarity with PyTorch, MATLAB, or similar tools - Interest in product management, system-level thinking, or regulated product development - Comfort working with imperfect or real-world data Required Skills: Python, Data analysis workflows, Medical imaging, Computer vision, Machine learning, CNNs, ViTs, PyTorch, MATLAB, Software design controls, Quality Management System (QMS), Regulated medical device development, Written and verbal communication Benefits: Hands-on experience working on a real medical device product used in clinical settings., Exposure to the intersection of software, hardware, and clinical workflows., Practical understanding of software quality and design controls in a regulated environment., Mentorship from experienced product and engineering leaders., The opportunity to deliver work that directly influences product decisions and roadmap discussions.