Signal Processing Engineer

Norbert Health; New York (NY); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Real impact on patient care

High autonomy and technical ownership

Equity participation

Transparent, mission-driven culture

Job summary

A healthcare technology company is seeking a Signal Processing Engineer to develop algorithms that extract clinical-grade physiological signals from video data. This role involves designing signal processing methods, validating algorithms, and integrating with a computer vision pipeline. Ideal candidates should have a Master's degree and over 5 years of industry experience in medical signal processing. The position offers competitive salary and equity, with a focus on impactful work in AI and healthcare.

Qualifications

• Master's or PhD in a relevant field is required.
• 5+ years of industry experience in signal processing algorithms.
• Proficient in Python and C++ with practical application.

Responsibilities

• Design algorithms to extract vital signs from video sensors.
• Develop filters and extraction methods for clinical accuracy.
• Build validation pipelines and design accurate measurement studies.

Skills

Digital signal processing

Statistical methods

Real-time systems

Python

C++

Physiological signal processing

Education

Master's degree in Electrical Engineering or Biomedical Engineering

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 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