Payment Processing Specialist

Phaxis; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Norbert is building autonomous robots that deliver healthcare. We seek a Signal Processing Engineer to advance remote vital sign monitoring from video, extracting clinical-grade signals and validating against reference devices.

You will collaborate with computer vision engineers to integrate DSP methods with real-time systems. The role emphasizes prototyping in Python and production in C++, with validation studies ensuring millisecond synchronization and robust performance in healthcare

Qualifications

• 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 and C++ (prototyping and production).
• 5+ years in industry developing signal processing algorithms for medical/physiological sensing (or equivalent with PhD).

Responsibilities

• Design and implement signal processing algorithms to extract vital signs from video-based sensors (rPPG, rBP).
• Develop real-time filtering, denoising, and feature extraction for clinical-grade accuracy.
• Build validation pipelines comparing video measurements against ECG/PPG/BP references.
• Ensure millisecond-level synchronization between video streams and reference sensors for ground truth.
• Integrate with the computer vision pipeline (C++) for multi-modal improvements.
• Architect cloud-based QA and automated verification systems for reproducible validation.
• Prototype algorithms in Python and C++ before deploying to production.

Skills

DSP fundamentals

Real-time systems

Independent problem solving

Medical sensing experience

Communication

Education

Master's degree in Electrical/BME (or PhD)

Tools

Python

C++

Git

DevOps for experiments

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 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