Norbert Health · 1 day ago
Signal Processing Engineer
Norbert Health is building autonomous robots that deliver healthcare, and they are seeking a Signal Processing Engineer to join their algorithm and development team. The role involves developing and validating algorithms for remote vital sign monitoring from video, working closely with computer vision engineers.
Health CareHealth DiagnosticsPersonal Health
Responsibilities
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
Qualification
Required
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)
Preferred
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 studies
Benefits
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
Equity participation in the company's future
Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
Transparent, mission-driven culture focused on continuous learning
Competitive salary and equity
Company
Norbert Health
Norbert Health develops a home medical pod that monitors the health of families using contactless sensors.
Funding
Current Stage
Early StageTotal Funding
$8MKey Investors
LDV Capital
2021-06-03Seed· $5M
2019-12-01Pre Seed· $3M
Recent News
2025-05-04
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