Requirements
- 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)
Nice to Have
- 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 studies
Benefits
- 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
- 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
Work Arrangement
Hybrid — Brooklyn, Paris
