Signal Processing Engineer

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.

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.

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