Master's in Electrical/Biomedical Engineering or related field (PhD preferred)
Strong knowledge of digital signal processing and real-time systems
Expertise in physiological signal processing (PPG, ECG, etc.)
Experience with low-frequency signals and noise challenges
Proficient in Python for prototyping and C++ for production
Experience in spectral analysis and adaptive filtering
5+ years in developing signal processing algorithms for medical applications
Responsibilities
Design and implement vital sign extraction algorithms from video
Develop real-time filtering and feature extraction methods
Build validation pipelines for video-based measurements
Design studies for synchronization between video and reference sensors
Integrate with C++ computer vision pipeline
Create cloud-based QA and automated verification systems
Prototype algorithms in Python and C++ for production
Benefits
Real impact on patient care through your work
High autonomy and technical ownership of projects
Opportunity to work at the cutting-edge of AI and healthcare
Join a diverse, talented, international team
Equity participation in the company's future
Exposure to advanced technologies like embedded AI and robotics
Mission-driven culture focused on continuous learning
Full Job Description
The position
We're looking for 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 (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in our algorithm team.
What You'll Do:
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 our 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
What We're Looking For:
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 integration)
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)
Bonus Points:
Experience with contact-based and contactless vital sign measurement technologies
Background working with medical-grade measurement devices and clinical reference standards
Experience with embedded signal processing (ARM, edge devices)
Knowledge of motion artifact removal and noise reduction in challenging environments
Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)
Background in medical devices, regulated environments, or clinical validation studie
What We Offer:
Real impact: your code provides care for patients today
High autonomy and technical ownership - you'll define our signal processing approach
Work at the intersection of cutting-edge AI, edge computing, and healthcare
A talented, excellent, diverse and international team
Talented, international team tackling meaningful problems in healthcare
Transparent, mission-driven culture focused on continuous learning
Competitive salary and equity
About Norbert Health
Norbert Health is a healthcare technology company that provides a platform for patients to connect with healthcare providers and manage their health information. The company's platform is designed to improve patient outcomes and reduce healthcare costs by providing patients with access to their medical records, appointment scheduling, and other healthcare services. Norbert Health was founded in 2018 and is headquartered in Beverly, Massachusetts.
