Principal Algorithm Engineer – Imaging / Ultrasound (ML)
MedtronicAbout the role
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
At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary.
The Affera Prism-2 Mapping System is a platform used to map electrical activity in the heart, visualize anatomy, localize catheters, and support treatment of cardiac arrhythmias. A key area of ongoing innovation is the integration of ultrasound imaging with mapping and navigation capabilities to provide richer procedural insight and enable new clinical workflows.
As a Principal Algorithm Engineer, you will contribute to the research and development of novel signal processing, image processing, and computational algorithms for medical device applications. You will play an important role in advancing ultrasound-enabled capabilities within the Affera Prism-2 platform, working across engineering, design, clinical, and research teams to evaluate new concepts and translate them into impactful technical solutions. This is a unique opportunity to work on emerging technology in electrophysiology and help shape the future of cardiac intervention.
Primary Responsibilities
Research, design, develop, and evaluate signal processing, image processing, and computational algorithms for medical device applications
Assess technical feasibility, performance, and design tradeoffs of new concepts
Implement complex real-time or near-real-time algorithms in software
Analyze bench, preclinical, and clinical data to develop/train algorithms, verify and validate them, and guide technical decision making
Collaborate with cross-functional partners across engineering, design, clinical, and research teams to translate unmet needs into solutions
Provide technical leadership and mentorship in signal processing and algorithm development
Required Qualifications
Bachelor's degree and a minimum of 7 years of relevant experience
OR Master’s degree with a minimum of 5 years of relevant experience
OR PhD with 3 years relevant experience
Preferred Qualifications
Advanced degree in electrical engineering, computer science, data science, biomedical engineering, mathematics, or physics
Strong foundation in signal processing, applied mathematics, and algorithm development
Expertise in image processing or computer vision for complex, noisy, or real-time data, ideally in cardiac ultrasound or medical imaging
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