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