Senior Algorithm Engineer

Dynocardia·
Newton, MA (Hybrid)
2w ago
Full-timeMidEngineeringDigital HealthUnknownPhD
Market Rate — Chemical Engineers
25th
$92K
Median
$112K
75th
$139K

BLS 2024 data (national)

Description

We seek individuals interested in digital health and medical technology who are dynamic and eager to apply and learn new skills in developing a novel continuous blood pressure measurement device. As a Senior Algorithm Engineer - Image Processing & Machine Learning you will have a leading role in the design, development and practical implementation of algorithms and imaging tools for medical applications in the field of blood pressure and hemodynamic monitoring. **Key Responsibilities** - Drive algorithm and software development of a medical device consisting of hardware control, data acquisition, and image processing for an advanced real-time tracking system of physiological signals using multiple sensors. - Provide technical leadership in the development of novel algorithms, software architecture, coding, testing, and deployment. - Generate requirements, specifications, support risk/hazard analyses, and lead/participate in technical reviews. - Effectively collaborate across disciplines (electronics, software and mechanical) and with internal and external consultants and development partners. - Participate in design and execution of preclinical system experiments with physicians, researchers, and third parties. - Help establish and drive best practices across the software development lifecycle.

Requirements

MS and/or PhD in Electrical Engineering, Computer Science, Mechanical Engineering, Biomedical Engineering or Applied Optics. 4+ years of experience in the design and development of Image Processing and Machine Learning algorithms. Experience with advanced image and signal processing. Experience with algorithm development and implementation in python, and C/C++ in a fast-paced environment. Experience with acquisition and processing of physiological signals in a complex environment is preferred. Excellent knowledge of linear/nonlinear real-time systems analysis (time/frequency, estimation and feedback models, digital filter design). Knowledge of Deep Learning, Machine Learning for Images / Videos. Good written and verbal communication skills. Ability to create documentation, follow documentation protocols, and suggest improvements as required. Ability to work in a fast-paced and start-up team environment. Self-motivated with strong problem-solving skills.
Dynocardia

Dynocardia

BIOTECHNOLOGY

Cuff-less Blood Pressure Monitor

LocationMA - Cambridge
Open Jobs3
Cardiovascular
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