Our Data Science Team
Our Data Science Team is advancing Artificial Intelligence & Machine Learning (AI/ML) initiatives that drive our business in an "AI First" approach. Resmed's commitment to improving the lives of people with sleep apnea and other sleep conditions through our extensive physiological and sleep data offers unparalleled opportunities for innovation.
Role Overview
As a Senior Signal Processing Engineer, you will design and develop advanced signal processing algorithms for physiological time‐series data across key business areas at Resmed. Your work will directly impact the patient journey—from early disease detection to therapy optimization—by enabling accurate and robust extraction of features and biomarkers from complex, noisy signals in sleep‐disordered breathing and other chronic conditions.
Responsibilities
* Design, develop, and optimize signal processing algorithms for physiological time‐series data (e.g., respiratory signals, oximetry, flow signals).
* Build robust pipelines for filtering, denoising, artifact detection, segmentation, and feature extraction.
* Develop algorithms for event detection and classification (e.g., apnea/hypopnea detection, respiratory pattern analysis).
* Work closely with Data Scientists and ML Engineers to integrate signal processing with AI/ML models.
* Define hypotheses, design experiments, and evaluate algorithm performance with a focus on accuracy, robustness, and real‐time feasibility.
* Collaborate with Product, Clinical, and Engineering teams to translate requirements into deployable solutions on devices or cloud platforms.
* Ensure high‐quality documentation of algorithm design, validation, and performance metrics.
* Mentor junior engineers and act as a subject‐matter expert in signal processing and time‐series analysis.
* Contribute to intellectual property, technical publications, and regulatory documentation.
Qualifications and Experience
* PhD or Master's in Electrical Engineering, Signal Processing, Biomedical Engineering, or a related field.
* PhD with 2+ or Master's with 4+ years of industry experience in signal processing or physiological data analysis.
* Strong foundation in digital signal processing (DSP), including filtering, spectral analysis, time‐frequency methods, and system design.
* Experience with time‐series analysis, including segmentation, feature extraction, and pattern recognition.
* Solid understanding of probability, statistics, and optimization techniques.
* Experience working with physiological or biomedical signals (e.g., ECG, EEG, respiratory signals, SpO2).
* Proficiency in Python (NumPy, SciPy, signal processing libraries) or MATLAB.
* Experience developing scalable data pipelines and evaluation frameworks.
* Preferred: Experience in sleep science or respiratory health.
* Familiarity with apnea detection, sleep staging, or cardiorespiratory signal analysis.
* Experience combining signal processing with machine learning/deep learning.
* Knowledge of cloud platforms (AWS or similar) for large‐scale signal data processing.
* Experience with large‐scale time‐series datasets (millions of signals / long‐duration recordings).
* Understanding of regulatory requirements in healthcare (FDA, CE, etc.).
* Familiarity with real‐time or embedded signal processing systems.
What You Can Expect
* A supportive environment focused on people's development and best‐practice implementation.
* Opportunity to design, influence, and innovate in cutting‐edge healthcare technology.
* Work with inclusive global teams and open sharing of ideas.
* A culture that encourages experimentation, iteration, and innovation.
* A diverse and inclusive culture that encourages individual expression and thrives on innovative ideas.
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