Signal Processing Engineer

The CompanyNorbert 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 PositionWe'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 accuracyBuild 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 truthIntegrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement techniquesArchitect cloud-based QA and automated verification systems for reproducible algorithm validationPrototype algorithms in Python and C++ before deploying them on our production systemWhat 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 systemsDeep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure)Experience processing low-frequency physiological signals with challenging SNR characteristicsProficiency in both Python (prototyping) and C++ (production integration)Experience with spectral analysis, adaptive filtering, and time-domain methods for real-time applicationsAbility to work independently, solve complex problems, and drive projects to completion5+ 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 technologiesBackground working with medical-grade measurement devices and clinical reference standardsExperience with embedded signal processing (ARM, edge devices)Knowledge of motion artifact removal and noise reduction in challenging environmentsFamiliarity with DevOps practices for reproducible research (experiment tracking, data versioning)Background in medical devices, regulated environments, or clinical validation studiesWhat 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 teamEquity participation in the company's futureCutting-edge stack: embedded AI, robotics, LLMs, multimodal sensingTransparent, mission-driven culture focused on continuous learningCompetitive salary and equity