Real-Time Vital Signs Signal Processing Engineer

Norbert Health; Paris; Sur place; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Real impact

Equity participation

Competitive salary

Résumé du poste

Norbert Health is seeking a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You 'll develop and validate algorithms that extract clinical-grade physiological signals from camera data, working closely with computer vision engineers.

What You 'll Do: Design signal processing algorithms (rPPG, rBP), develop real-time methods, build validation pipelines, ensure millisecond synchronization, integrate with CV in C++, and

Qualifications

• Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD).
• Strong fundamentals in digital signal processing, statistical methods, and real-time systems.
• Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure).
• Experience processing low-frequency physiological signals with challenging SNR characteristics.
• Proficiency in both Python (prototyping) and C++ (production).
• Experience with spectral analysis, adaptive filtering, and time-domain methods for real-time applications.
• Ability to work independently, solve complex problems, and drive projects to completion.
• 5+ years industry experience developing signal processing algorithms for medical or physiological sensing applications (or equivalent with PhD).

Responsabilités

• Design and implement signal processing algorithms for extracting vital signs from video-based sensors (rPPG, rBP).
• Develop real-time filtering, denoising, and feature extraction methods to achieve clinical-grade accuracy.
• Build validation pipelines comparing video-based measurements against clinical reference devices (ECG, PPG, BP monitors).
• Help design studies that ensure millisecond-level synchronization between video streams and reference sensors for accurate ground truth.
• Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement techniques.
• Architect cloud-based QA and automated verification systems for reproducible algorithm validation.
• Prototype algorithms in Python and C++ before deploying them on our production system.

Connaissances

Digital signal processing

Real-time systems

Statistical methods

Physiological signal processing

Independent work

Problem solving

Formation

Master's degree in Electrical Engineering

PhD (related field)

Outils

Python

C++

Spectral analysis

Adaptive filtering

Time-domain methods

ARM / Embedded

DevOps for reproducible research

Description du poste

Norbert Health is seeking a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You 'll develop and validate algorithms that extract clinical-grade physiological signals from camera data, working closely with computer vision engineers.

What You 'll Do: Design signal processing algorithms (rPPG, rBP), develop real-time methods, build validation pipelines, ensure millisecond synchronization, integrate with CV in C++, and