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About the Role

As a Senior Signal Processing Engineer, you will design and develop advanced signal processing algorithms for physiological time-series data. Your work will directly impact the patient journey by enabling accurate feature and biomarker extraction from complex signals. You will build and optimize signal processing pipelines, collaborate with AI/ML teams, and translate clinical requirements into scalable solutions.

Responsibilities

Design, develop, and optimize signal processing algorithms for physiological time-series data
Build robust pipelines for filtering, denoising, artifact detection, segmentation, and feature extraction
Develop algorithms for event detection and classification
Work closely with Data Scientists and ML Engineers to integrate signal processing with AI/ML models
Define hypotheses, design experiments, and evaluate algorithm performance
Collaborate with Product, Clinical, and Engineering teams to translate requirements into deployable solutions
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

Requirements

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

Skills

Signal Processing
Time-series analysis
Python
MATLAB
Digital Signal Processing (DSP)
Filtering
Spectral analysis
Time-frequency methods
System design
Segmentation
Feature extraction
Pattern recognition
Probability
Statistics
Optimization techniques
Physiological signals
Biomedical signals
Data pipelines
Evaluation frameworks
Sleep science
Respiratory health
Apnea detection
Sleep staging
Cardiorespiratory signal analysis
Machine learning
Deep learning
Cloud platforms (AWS)
Large-scale time-series datasets
Regulatory requirements (FDA, CE)
Real-time signal processing
Embedded signal processing

Experience Level

Senior

Education Level

PhD
Master's

Benefits

Supportive environment that focuses on people’s development and best implementation
Opportunity to design, influence, and innovate in cutting-edge healthcare technology
Work with inclusive global teams and open sharing of ideas
The opportunity to build impactful solutions that improve patients’ lives
A culture that encourages experimentation, iteration, and innovation

About the Company

Resmed (NYSE:RMD, ASX: RMD) creates life-changing health technologies that people love.
We’re relentlessly committed to pioneering innovative technology to empower millions of people in more than 140 countries to live happier, healthier lives.
Our AI-powered digital health solutions, cloud-connected devices and intelligent software make home healthcare more personalized, accessible and effective.
Resmed envisions a world where every person can achieve their full potential through better sleep and breathing, with care delivered in their own home.
Learn more about how we’re redefining sleep health at Resmed.com and follow @Resmed.

Equal Opportunity

We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates.