Software Engineer II - Electrophysiology

bostonscientific•Waltham, MA

21h•$75,100 - $142,600•Hybrid

About The Position

We are looking for a Software Engineer II with strong theoretical and hands-on software development experience in C++ and Python to join our exciting and fast-paced development team. The successful candidate will be involved in all aspects of the system's software, algorithm development, integration and test development. They will also interface with other teams, such as Systems and Concepts Engineering, and Test teams, to develop critical features for the Opal HDx Mapping System. The Opal HDx Mapping System centers around a real-time virtual world of the human heart. As a physician probes the heart with a catheter, the system generates an accurate anatomical model of the chamber. High-performance rendering and algorithmic techniques are vital to creating a stunning view and providing the physician with instant feedback. Our technology includes C++ (C++11 or newer), Qt (Qt Widgets or Qt Quick/QML), Linux, Python, MATLAB

Requirements

BS/MS in Computer Science or equivalent experience, with a strong software development background.
2 years relevant Experience or commensurate education
Experience with Machine Learning development in Python
C++ development and debugging
Experience QT GUI Experience, including Qt Widgets and/or Qt Quick/QML
Experience with Object Oriented programming principles
Excellent analytical and problem-solving skills
Ability to contribute to multiple projects in parallel

Nice To Haves

Experience with developing on the Linux platform
Experience with scrum framework
Good written and verbal communication skills.
General report writing/documentation experience
Experience with medical device standards including IEC 62304, 60601, ISO 14971, 13485
Experience with software configuration management tools for source code control (Git), issue tracking (Jira), requirements management (JAMA)
A good learner who can master complex software and quickly adapt to new tools and technologies.
Open GL a plus
Biomedical Engineering experience
Image processing
CUDA

Responsibilities

Architect, design, develop and release innovative high performance medical device software.
Solve difficult problems, improve state of the art, and achieve engineering excellence.
Collaborate across disciplines effectively (HW, Systems, Concepts, Test, Quality) to focus and maximize end-to-end solution value and quality
Participates in preclinical system experiments in the lab, with physicians, and 3rd parties
Implements, tests, troubleshoots, and debugs source code for complex software applications
Follow the full design life cycle process including driving efforts in requirements specification, design activities, planning, code reviews and creating corresponding artifacts.
Participate in the development of technical documentation, including design specifications, test plans, and user manuals.
Promote a collaborative environment and pragmatic engineering decision-making.
Support field clinical staff on use of medical software and troubleshooting issues.

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