Posted 6 months ago
Signal Processing Engineer
@ Norbert Health
Montréal, Quebec
Overview
Norbert Health is hiring a full-time Signal Processing Engineer to join its algorithm and development team. The role develops and validates algorithms that extract heart rate, blood pressure and respiration from camera video, working with computer vision engineers. The posting requires a master's degree or PhD and 5+ years of signal processing experience in medical or physiological sensing; competitive salary and equity are offered.
Responsibilities:
- Design and implement signal processing algorithms for video-based vital signs
- Develop real-time filtering, denoising and feature extraction methods
- Build validation pipelines against ECG, PPG and BP reference devices
- Integrate algorithms with the C++ computer vision pipeline
Requirements summary:
- Master's degree or PhD in electrical, biomedical or related engineering
- 5+ years of signal processing experience in medical or physiological sensing
- Proficiency in Python and C++
- Experience with spectral analysis and adaptive filtering
Tools & skills
Source and dates
Employer career site / ATS feed · breezy
- Employer posting date
- 2026-04-26
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Electrical Engineering, Biomedical Engineering |
| Perks mentioned | Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Norbert Health
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The AI module for autonomous care in the real world
Full company description
Norbert is a physical and medical AI module that turns any robot into a health assistant — bringing care delivery to wherever patients are. Currently deployed in the real-world, and built for healthcare environments, Norbert enables robots to naturally interact with patients, measure vitals without contact, assess mobility and various behavioral signals, and share insights with care teams. By combining robotics, AI, and human-centered design, Norbert helps nurses and caregivers deliver safer, more preventive, and more personalized care. With no added staff or complex change management. We’re partnering with forward-thinking care providers to redefine how AI and robotics enhance care delivery and patient engagement.
- LinkedIn followers
- 2,288
- People associated on LinkedIn
- 17
- Reported office locations
- Brooklyn, NY, US
- Paris, FR
- Business categories
- Health Diagnostics
- Health Care
- Personal Health
- Other recorded names
- Norbert Health
- Profile identifies a recruitment agency
- No
- Reported total investment
- 8,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Norbert is a physical and medical AI module that turns any robot into a health assistant — bringing care delivery to wherever patients are. Currently deployed in the real-world, and built for healthcare environments, Norbert enables robots to naturally interact with patients, measure vitals without contact, assess mobility and various behavioral signals, and share insights with care teams. By combining robotics…
| Field | Value |
|---|---|
| Industry | Wellness and Fitness Services |
| Company size | 11-50 employees |
| Headquarters | Brooklyn, NY |
| Organization type | Privately Held |
| Year founded | 2019 |
| Open jobs on Jobsy | 4 |
| View page |
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 (Radar, 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 especially radar
- 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
Journal
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