Product Engineering Intern

Topcon Positioning Systems • San Diego, CA

4d • Onsite

About The Position

Topcon Healthcare is looking to offer an internship program from June 1, 2026, until August 14, 2026. This is a paid program located in the La Jolla CA office. The hours for this program are Monday – Friday 9am – 5pm. Come join the Topcon Healthcare team to help build real-world skills and knowledge to influence your education and career path. We are seeking a highly motivated and detail-oriented individual to join the Primary Care product engineering team as a product engineering Intern. The successful candidate will have the opportunity to gain valuable experience and hands-on exposure to product management, medical imaging software, and regulated healthcare product development, with a particular focus on image quality, system robustness, and software design controls. The intern will work closely with product management, engineering, and quality to deliver meaningful output and products that will benefit patient care. We are committed to offering real, outcome-driven project work—not observational or exploratory tasks.

Requirements

• 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.

Nice To Haves

• 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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern