Associate Software Engineer - C++ (Plymouth, MN)

Philips•Plymouth, MN

1d•Onsite

About The Position

Join our high-performing team in the Image Guided Therapy Devices (IGT-D) Software R&D group in Plymouth, MN. Here, you’ll help develop innovative features for our Intravascular Ultrasound (IVUS) Clinical Imaging Application. Your work will streamline clinical workflows and make a real difference in patients' lives.

Requirements

2+ years of experience in C++ software development, including desktop applications and UI frameworks such as Qt.
Exposure to AI/ML concepts, AI-assisted development tools, or intelligent software solutions.
Technical skills include development tools such as Visual Studio, Azure DevOps, Git, CMake, Jenkins, and Git Actions.
Familiarity using automation and AI-enhanced workflows to improve software delivery and testing processes.
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
Experience working in Agile development environments (Scrum, Kanban).
Familiarity with regulatory standards including IEC 62304, IEC 82304, ISO 13485, and ISO 14971.

Responsibilities

Work closely with Product Owners and Senior Software Engineers to translate software requirements into clinical imaging application features using strong software design principles.
Leverage C++ development expertise and AI-enabled technologies/tools to build high-quality features that meet real-time performance requirements and improve development efficiency.
Develop, review, and maintain software components while ensuring code quality through static analysis, peer reviews, and automated validation processes.
Create and maintain Software Design Description (SDD) documentation and support the integration of AI-assisted development and testing methodologies where applicable.
Perform unit testing, manual testing, and debugging activities to validate functionality, reliability, and performance, including edge-case scenarios.
Collaborate with Software Test Engineers to analyze and resolve issues identified through manual, automated, and AI-assisted testing workflows.
Participate in risk management activities such as Failure Modes and Effects Analysis (FMEA) to identify hazards, assess risks, and implement effective mitigation strategies.
Support the development of intelligent and compliant software solutions within a regulated medical device environment.
Adhere to Philips Agile QMS processes and regulatory standards while contributing to Agile development activities and continuous improvement initiatives.
Explore opportunities to incorporate AI-driven insights, automation, and modern software engineering practices to enhance product quality and team productivity.