Physiological Signal Processing Engineer (rPPG / Mobile Biosensing)

Job Title: Senior Signal Processing EngineerExperience: 5+ yearsLocation: RemoteContract duration: 3-6 MonthsShift timings: Vietnam business hours (9:00 AM – 6:00 PM)Job SummaryWe are hiring a Physiological Signal Processing Engineer to build and own production-grade physiological signal pipelines derived from smartphone camera video. This role focuses on extracting robust, clinically meaningful digital biomarkers under real-world conditions such as motion, lighting variability, occlusion, and device heterogeneity.This is a core signal engineering role, not a data science or model-training position.Key ResponsibilitiesDesign, optimize, and maintain rPPG / TOI signal-processing pipelines using RGB and IR videoImplement multi-stage preprocessing and denoising techniques to suppress motion and illumination artifactsDevelop and apply signal quality scoring and confidence metrics for physiological signalsApply advanced signal-processing methods including: Adaptive filtering, CA / PCA-based approaches, Color-space transformations, Skin ROI detection and stabilizationBuild cross-device normalization strategies and error-bounded estimatorsDefine biomarker-level acceptance criteria, failure modes, and signal validity thresholdsValidate algorithms using ground-truth physiological referencesCollaborate with iOS and ML teams to integrate algorithms into on-device or hybrid pipelinesProduce technical documentation suitable for regulatory review and platform approvals (including Apple review support)Expected DeliverablesComprehensive benchmark reports across device models, skin tones, lighting conditions, and motion scenarios.Biomarker feature specification sheets, including recommended thresholds and confidence bands.A/B evaluation results demonstrating improvements in signal stability, missingness, and downstream inference performance.Required Qualifications5+ years of experience in physiological signal processing or computational biomedical engineeringStrong hands-on experience with:rPPG and camera-based physiological sensingHR / HRV estimation and artifact mitigationTime-series signal analysis under real-world conditionsStrong programming skills in PythonExperience with at least one real-time or production runtime:C++, Swift, Metal, or equivalentProven experience validating algorithms with ground-truth comparisons (not lab-only or synthetic data)Nice to HaveExperience with camera-based BP-adjacent proxiesExposure to stress or autonomic nervous system (ANS) metricsExperience with multimodal signal fusionPublications or commercial work in consumer-grade biosensingExperience building or supporting wellness-grade claims frameworksImportant NoteThis role is not a general ML or data science positionCandidates focused primarily on model training without strong signal-processing fundamentals may not be a good fitDeep understanding of signal behavior, noise sources, and algorithmic trade-offs is essential

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