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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
If you’re passionate about making a difference in patient care, join our dynamic, professional, and dedicated team developing innovative solutions designed to improve ambulatory medical testing.
Our software development team is looking for a new member who will help us continue to innovate our electrocardiographic data analysis software. You’ll work as part of a highly dynamic team dedicated to developing innovative medical products, where you’ll have the opportunity to bring your own ideas and expertise.
We put the patient first, always and without exception.
We take pride in our work.
We take ownership of our deliverables.
We work together, both in person and remotely.
We collaborate with our internal and external customers to deliver the products they need.
Develop and optimize efficient, high-performance signal processing algorithms for large volumes of raw electrophysiological data recordings.
Conduct scientific literature reviews to stay at the forefront of the latest developments in the field.
Plan activities based on requirements, specifications, and project timelines.
Participate in software development and ensure its integration.
Participate in software validation to ensure compliance with applicable standards and regulations.
Actively contribute to the management and analysis of technical issues and ensure they are resolved effectively.
Maintain the system in response to changes in requirements.
A bachelor’s degree in computer science, computer engineering, software engineering, or another relevant field.
A master’s degree in artificial intelligence.
Knowledge of recent developments in machine learning for computer vision and time-series processing.
Knowledge of software development and testing frameworks.
Knowledge of machine learning APIs and frameworks (TensorFlow, Keras, PyTorch, Scikit-learn, etc.).
Knowledge of several programming languages (Python, C/C++, C#, etc.) and experience working in a Linux environment.
Good knowledge of security standards and procedures.
Signal processing.
Environments governed by ISO 13485 and IEC 62304 standards.