engineering
Posted Jun 8Senior Signal Processing Engineer
at ResMed
Hybrid
Responsibilities
- 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,
Requirements
- Let’s talk about the team Our Data Science Team is advancing Artificial Intelligence & Machine Learning (AI/ML) initiatives that drive our business in an “AI First” approach.
- On any given day, the team could be working on developing advanced signal processing pipelines for physiological data (e.g., airflow, SpO₂, respiratory effort, speech, heart-rate), extracting clinically meaningful features from billion+ nights of sleep data, improving signal quality and artifact detection, enabling robust AI/ML models, or supporting real-time patient monitoring and therapeutic interventions. Let’s talk
- You will collaborate closely with AI/ML team members to enable high-quality inputs to predictive models, and contribute to hybrid systems that combine signal processing with machine learning and deep learning approaches.
- 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
Additional details
- about the role 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.
- You will build and optimize signal processing pipelines for tasks such as filtering, denoising, segmentation, event detection (e.g., apneas/hypopneas), and feature extraction, ensuring reliability in real-world environments.
- Acting as both an individual contributor and subject matter expert, you will translate clinical and physiological
- requirements into scalable signal processing solutions, while working with cross-functional teams to improve patient outcomes and device performance. Let’s talk
- 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 Let’s talk qualifications and
- It’s discovering a career that’s challenging, supportive and inspiring.
- Where a culture driven by excellence helps you not only meet your goals, but also create new ones.
- We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates.
- If this sounds like the workplace for you, apply now! We commit to respond to every applicant.