Senior Software Engineer

About Us

We are a global team of like-minded Med-Tech professionals focused on patient centric solutions in a collaborative environment leading to excellent outcomes. We have developed an advanced and unique heart failure therapy technology in the BrioVAD® Left Ventricular Assist System (LVAS). We are introducing the BrioVAD LVAS to Heart Failure clinicians for use with the large number of indicated and untreated patients who could benefit from chronic mechanical circulatory support. The initiation of our INNOVATE™ Trial in the US is only the beginning. We are building a team to develop advanced technology intended to further improve patient outcomes, increase therapy acceptance, and enabling chronic MCS therapy to be accessible to more patients across the globe.

The role

Reporting to the Senior Manager, Software Engineering, the Senior Software Engineer will play a key role in developing and evolving software solutions that support the BrioVAD® platform. This position combines enhancement of existing Windows-based applications with development of next-generation cloud-connected solutions that support remote patient monitoring, clinical workflows, and data-driven decision making. The ideal candidate brings strong expertise in C#/.NET development, cloud technologies, and modern software architecture, with the ability to contribute across the full software development lifecycle.

What You'll Do

• Design, develop, and maintain software applications supporting the BrioVAD platform using C# and .NET technologies.
• Enhance and modernize existing Windows-based applications while supporting migration toward contemporary software architectures and user interfaces.
• Develop cloud-connected solutions and services that enable remote monitoring, secure data access, and clinician-facing workflows.
• Contribute across the full technology stack, including desktop applications, APIs, backend services, cloud infrastructure, and web-based components.
• Design and implement user interfaces that support visualization of clinical and device data, including graphs, waveforms, and real-time system information.
• Diagnose and resolve performance, scalability, and reliability challenges within multithreaded applications.
• Apply cybersecurity, privacy, and data protection best practices to software systems handling sensitive healthcare information.
• Collaborate closely with Systems, Electrical, Mechanical, Quality, Regulatory, and Clinical Engineering teams throughout product development.
• Follow established software development processes, design controls, and documentation standards.
• Develop and maintain automated tests while contributing to software quality and verification activities.
• Support key product development milestones with a focus on reliability, maintainability, and regulatory compliance.

What You Bring

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related discipline.
• 5+ years of professional software development experience using C# and .NET.
• Experience developing Windows-based applications, including WinForms and/or modern UI frameworks.
• Hands-on experience building cloud-connected applications using Azure or AWS.
• Experience developing backend services, APIs, and distributed systems.
• Strong understanding of multithreaded application design, performance optimization, and debugging techniques.
• Experience working within collaborative cross-functional development environments.
• Strong communication, documentation, and problem-solving skills.
• Ability to work onsite in Burlington, MA at least three days per week.

Preferred Qualifications

• Experience developing software for regulated industries such as medical devices, healthcare, aerospace, or life sciences.
• Experience with modern Windows UI frameworks including WPF, WinUI, or .NET MAUI.
• Experience working with real-time or near real-time data processing, telemetry, or waveform visualization.
• Familiarity with cloud security, secure system design, and healthcare data privacy requirements.
• Experience with CI/CD pipelines and modern DevOps practices.
• Exposure to analytics, machine learning, or AI-enabled software applications.