Principal R&D Engineer

We anticipate the application window for this opening will close on - 6 Nov 2026

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life The Structural Heart portfolio within Medtronic’s Interventional Cardiology Therapies (ICT) Operating Unit is looking for a Principal R&D Engineer. This role will support the development and expansion of transcatheter heart valve replacement technologies through advanced clinical and preclinical imaging analysis, computational and anatomical modeling, and research activities for Structural Heart therapies. This role will partner with engineering, clinical, and scientific teams to analyze cardiovascular imaging datasets, develop predictive models, evaluate device-anatomy interactions, and generate evidence that supports product development, preclinical studies, and future therapy advancement.

The Structural Heart group develops transcatheter technologies for the treatment of valvular heart disease and aortic conditions. This team supports a broad portfolio of transcatheter valve replacement and repair therapies, including technologies used to treat aortic, pulmonary, mitral, and tricuspid valve disease.

This position is based at our Mounds View, MN facility and requires a minimum of 4 days per week on-site for in-person collaboration. This role may require up to 10% travel to support business objectives, in-person meetings and project  general, the following responsibilities apply for the Principal R&D Engineer which includes, but is not limited to the following:

Analyze clinical and preclinical imaging datasets including computed tomography (CT), ultrasound, magnetic resonance imaging (MRI), and fluoroscopy to support product development and use-condition assessment

Develop anatomical reconstructions, segmentation workflows, and measurement methodologies using advanced 3D imaging software and analytical tools

Create, validate, and maintain image-processing, measurement, and data-analysis workflows using Python and MATLAB Develop predictive models and virtual patient assessments to evaluate anatomy-device interactions and support screening methodologies

Partner with modeling, design, testing, and clinical teams to support research, feasibility, and product development activities

Generate technical documentation, scientific reports, presentations, and supporting evidence for engineering and research activities

Collaborate with external physicians, researchers, and cross-functional stakeholders to advance structural heart technologies and clinical understanding

Provide technical leadership, mentorship, and guidance within the imaging and cardiovascular modeling domain

Required Qualifications Bachelor's degree in Engineering, Scientific, Engineering, Math with 7+ years of experience OR Master's degree with 5+ years of engineering or scientific experience OR PhD with 3+ years of engineering or scientific experience

Preferred Qualifications Experience analyzing cardiovascular imaging data using CT, ultrasound, MRI, or fluoroscopy

Experience with image segmentation, anatomical reconstruction, 3D modeling, CAD software, or quantitative image analysis

Experience developing analytical tools, scripts, or workflows using Python and/or MATLAB Experience authoring technical documentation, reports, and presentations supporting research or product development activities

Experience with structural heart, transcatheter valve, or cardiovascular medical device development/manufacturing

Knowledge of cardiac anatomy, physiology, pathology, and valve disease, including mitral and tricuspid anatomy

Experience with statistical shape modeling, computational fluid dynamics (CFD), finite element analysis (FEA), or other physics-based modeling techniques

Experience developing or validating machine learning models for medical imaging or anatomy-device interaction analysis

Experience working within regulated medical device environments, including design controls, FDA regulations, Quality System Regulations (QSR), and Good Manufacturing Practices (GMP)
In depth knowledge of mitral and tricuspid valve and…