Principal Software Engineer (Image Processing/Machine Learning) - Electrophysiology

Boston Scientific - Cambridge, MA

Full-time - Senior

Cambridge, MA

Miscellaneous Manufacturing

About the position

The Principal Software Engineer will play a crucial role in the development of the Opal Mapping system, which creates a real-time virtual model of the human heart for electrophysiology procedures. This position requires a strong background in computer science, image processing, and machine learning, focusing on architecting and developing algorithms that enhance the system's performance and provide immediate feedback to physicians. The role involves collaboration with various teams to ensure the delivery of high-quality, mission-critical products.

Responsibilities

• Architect, design, and develop image processing algorithms.
• Apply machine learning techniques to improve the image processing system.
• Solve complex problems and strive for engineering excellence.
• Collaborate with marketing, systems engineering, QA, hardware, and regulatory teams to understand requirements and deliver optimal solutions.

Requirements

• Strong background in computer science, preferably a BS/MS in Computer Science or Electrical Engineering.
• Extensive experience programming in C++.
• Experience with image processing libraries such as OpenCV.
• Proven track record of delivering successful mission-critical products.
• Broad and deep technology experience in image processing and machine learning.
• Strong experience in systems development.
• Excellent problem-solving skills and a proactive attitude.
• Strong communication skills, adaptable to different audiences.
• Expertise in developing software using scrum methodology.

Nice-to-haves

• Experience architecting, designing, and implementing medical device software.
• Experience writing software for embedded systems interfacing with sensors.

Benefits

• Access to the latest tools and training for skill advancement.
• Support for career progression.