Senior Digital Signal Processing Engineer at Imricor Medical Systems Inc

Burnsville, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

165000.0

Posted On

14 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital Signal Processing, Algorithm Development, AI/ML, Deep Learning, Statistical Modeling, Prototype Design, Verification & Validation, Risk Assessment, Python, MATLAB, Java, C/C++, Design Controls, Signal Processing, Medical Devices, Embedded Systems

Industry

Medical Equipment Manufacturing

Description

Description Supervisor’s Title: Senior R&D Engineering Manager Exempt Status: Exempt Location: Must be able to work onsite at the Burnsville location Compensation: The expected salary for this Minnesota-based position is $100,000-$165,000. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s knowledge, skills, and or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental, Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, and Retirement Benefits). Basic Function 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. Responsibilities Advanced Research & Innovation 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. Algorithm Development & Collaboration 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. R&D Documentation & Regulatory Alignment 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. Deployment & Production Support 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. Requirements Basic Qualifications 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. Preferred Qualifications · 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. Working Conditions · Light work, exerting up to 20 lbs. of force or less. · Requires fingering, repetitive motion, talking, and hearing. · 85% of the time requires viewing and working on a computer screen. · Significant work pace & pressure due to deadlines. The statements above reflect the principal function and most significant duties of the job as necessary for its evaluation in relation to other jobs in the organization and shall not be construed as a detailed description of all the work requirements that may be inherent in the job. Any functions that are non-Essential will be identified as such above. A request for Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

Responsibilities

The Senior Digital Signal Processing Engineer will design, develop, validate, and deploy signal processing algorithms, including AI/ML, for next-generation medical devices, focusing on concept exploration and prototyping. This role involves close collaboration with clinicians and product teams to deliver innovative technologies while ensuring compliance with Quality System requirements.