Signal Processing Engineer — Medical Robotics + Equity

Uncover; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Job summary

Norbert is seeking a Signal Processing Engineer to join our algorithm and development team, focusing on remote vital sign monitoring from video. You will develop and validate algorithms that extract clinical-grade signals (heart rate, respiration) from camera data, collaborating with computer vision engineers.

The role requires a Master’s degree in Electrical or Biomedical Engineering (or PhD), deep DSP and real-time expertise, and 5+ years in medical sensing.

Qualifications

• Master's degree in Electrical/Biomedical Engineering (or PhD)
• Strong fundamentals in DSP, statistics, and real-time systems
• Deep expertise in physiological signal processing (PPG, ECG, respiration, BP)
• Experience processing low-frequency physiological signals with challenging SNR characteristics
• Proficiency in both Python (prototyping) and C++ (production)
• 5+ years industry experience developing signal processing algorithms for medical sensing

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 for clinical-grade accuracy
• Build validation pipelines comparing video-based measurements against ECG/PPG/BP references
• Assist in studies ensuring millisecond synchronization between video streams and reference sensors
• Integrate with the computer vision pipeline (C++) for multi-modal signal enhancement
• Architect cloud-based QA and automated verification systems for reproducible algorithm validation
• Prototype algorithms in Python and C++ before deploying to production

Skills

Signal processing

Python

C++

Real-time systems

Digital signal processing

PPG/ECG knowledge

Medical devices

Education

Master's degree in Electrical or Biomedical Engineering

Tools

ARM

Edge devices

Job description

Norbert is seeking a Signal Processing Engineer to join our algorithm and development team, focusing on remote vital sign monitoring from video. You will develop and validate algorithms that extract clinical-grade signals (heart rate, respiration) from camera data, collaborating with computer vision engineers.

The role requires a Master’s degree in Electrical or Biomedical Engineering (or PhD), deep DSP and real-time expertise, and 5+ years in medical sensing.