Signal Processing Engineer

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

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform mounts on mobile robots and does the work of a care team member—rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously. We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030. We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

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 todayHigh autonomy and technical ownership - you'll define our signal processing approachWork at the intersection of cutting-edge AI, edge computing, and healthcareA talented, excellent, diverse and international teamTalented, international team tackling meaningful problems in healthcareEquity participation in the company's futureCutting-edge stack: embedded AI, robotics, LLMs, multimodal sensingTransparent, mission-driven culture focused on continuous learningCompetitive salary and equity