Signal Processing Engineer

About the role

We are looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital‑sign monitoring from video. You will develop and validate algorithms that extract clinical‑grade physiological signals such as heart rate, blood pressure and respiration from camera data, collaborating closely with computer‑vision engineers.

Key responsibilities

• 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 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.
• 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 the production system.

Required profile

• 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.
• 5+ years of industry experience developing signal‑processing algorithms for medical or physiological sensing applications (or equivalent with PhD).

Required skills

• Python
• C++
• Digital signal processing
• Spectral analysis
• Adaptive filtering
• Time‑domain methods
• Real‑time filtering and denoising
• ARM (embedded) development

What we offer

• Real impact: your code provides care for patients today.
• High autonomy and technical ownership of the signal‑processing approach.
• Work at the intersection of cutting‑edge AI, edge computing and healthcare.
• Talented, diverse and international team.
• 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.