Senior Digital Signal Processing Engineer

Imricor Medical Systems Inc•Burnsville, MN

18h•$100,000 - $165,000•Onsite

About The Position

The Senior Digital Signal Processing Engineer will design, develop, validate, and deploy signal processing algorithms (including AI/ML) for the next generation of medical devices. This role will focus on concept exploration, algorithm prototyping, feasibility research, and work closely with clinicians and product development teams to deliver safe, effective, and innovative technologies that improve patient outcomes. This position is responsible for complying with the Quality System requirements and carrying out responsibilities outlined in the environmental, health, and safety policies.

Requirements

Bachelor of science in computer science, biomedical engineering, electrical engineering, applied mathematics, or related technical field.
5 years of applicable experience in regulated medical device R&D, especially early-stage algorithm research.
Strong background in machine learning, deep learning, and signal/image processing.
Solid understanding of statistical modeling, data analysis, algorithm performance evaluation, and ML lifecycle management.
Proficiency with Python, MATLAB, or a similar modeling language.
Experience with Java or C/C++ for embedded systems a plus.
Strong knowledge of design controls and risk management practices.
Strong communication skills and the ability to interface with team members from other disciplines.
Willingness to go out of one’s comfort zone and take on other roles as required in a small company environment.
An aptitude for creative, lateral thinking.

Nice To Haves

MS in related field with 7+ years of applicable experience.
Familiarity with FDA Good Machine. Learning Practice (GMLP) guidelines and experience contributing to regulatory submissions (510(k), PMA, MDR).
Experience with physiological signals, medical imaging, and developing models for embedded or resource-constrained devices.

Responsibilities

Investigates emerging AI/ML techniques and assess their applicability to physiological sensing, diagnostics, imaging, or therapeutic devices.
Develops new methods in signal processing, deep learning, statistical modeling, or hybrid AI systems to facilitate MRI-guided interventional cardiac electrophysiology procedures.
Publishes internal whitepapers and contribute to scientific publications, conference submissions, and intellectual property.
Develops and refines early-stage algorithms and model optimization through concept investigation, experimentation, prototype design, and rapid iteration.
Partners with clinical research to ensure scientific rigor in experimental design and to generate evidence that demonstrates performance, robustness, and clinical value.
Collaborates closely with engineering teams to ensure feasibility and integration alignment and to transition prototypes into development-ready solutions.
Documents algorithm research, design decisions, and verification & validation outcomes according to Imricor R&D processes and Quality Management Systems.
Supports design reviews, risk assessments, algorithmic hazard analysis, and early traceability mapping.
Contributes to technical documents used in regulatory submissions with a focus on research justification and scientific rationale.
Optimizes algorithms for performance, memory, and power constraints in embedded or cloud environments.
Works closely with cross-functional teams, including regulatory, quality, clinical and operations, to ensure seamless integration with Imricor’s medical devices.
Monitors post-market algorithm performance and support updates or re-training initiatives.
Other duties as assigned.