ECG Data Processing Engineer - AI & Signal Processing

Icentia Inc.; Signal (OH); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Icentia Inc. in the United States is seeking a software engineer to advance electrocardiographic data analysis software, working on high-performance signal processing and integration with existing systems.

You will conduct literature reviews, plan activities from requirements to timelines, and validate software to meet ISO 13485/IEC 62304 standards. Ideal candidates have a BS in CS/CE/SE, a MS in AI, strong Python/C/C++, Linux experience, ML frameworks, and a passion for patient-focused medical

Qualifications

• Bachelor’s degree in computer science, computer engineering, software engineering, or related field.
• Master’s degree in artificial intelligence is preferred.
• Knowledge of ML for time-series processing and computer vision is desired.
• Experience with ML APIs and software testing frameworks.

Responsibilities

• Develop and optimize high-performance signal processing algorithms for large electrophysiological data sets.
• Conduct literature reviews to stay at the forefront of developments.
• Plan activities based on requirements, specifications, and timelines.
• Participate in software development and ensure integration.
• Validate software to meet applicable standards and regulations.
• Contribute to issue management and maintain systems amid changing requirements.

Skills

Python

C/C++

C#

Linux

ML frameworks

Time-series ML

Software testing

Security standards

Education

Bachelor's in CS/CE/SE

Master's in AI

Tools

TensorFlow

Keras

PyTorch

Scikit-learn

Job description

Icentia Inc. in the United States is seeking a software engineer to advance electrocardiographic data analysis software, working on high-performance signal processing and integration with existing systems.

You will conduct literature reviews, plan activities from requirements to timelines, and validate software to meet ISO 13485/IEC 62304 standards. Ideal candidates have a BS in CS/CE/SE, a MS in AI, strong Python/C/C++, Linux experience, ML frameworks, and a passion for patient-focused medical