Sr. Algorithm Engineer - Wearable Health & Sensor Algorithms
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026.
Role: Algorithm Engineer
Location: Gurugram, India (Onsite)
About the Role
We are looking for ahighly experienced Algorithm Engineer to lead the development of next-generation health and wellness algorithms for wearable devices includingsmartwatches, smart rings, and fitness trackers. The ideal candidate will have strong expertise in biosignal processing, sensor fusion, physiological modeling, and production-grade algorithm deployment on embedded wearable platforms.
This role involves working closely with hardware, firmware, data science, cloud, and product teams to build industry-leading health monitoring experiences.
Key Responsibilities:
Health Algorithm Development
- Design, develop, and optimize algorithms for: Heart Rate (HR), Resting Heart Rate (RHR), Heart Rate Variability (HRV), Blood Oxygen -Saturation (SpO₂), Sleep Monitoring & Sleep Staging, Stress Monitoring, Respiratory Rate, Activity & Energy Expenditure Tracking,Recovery & Readiness Metrics, Women’s Health Tracking, Advanced Vital Sign Monitoring
Signal Processing
-Develop robust signal processing pipelines for: PPG (Photoplethysmography), ECG, Accelerometer, Gyroscope, Temperature Sensors, Bioimpedance Sensors
-Design motion artifact removal and noise suppression algorithms.
-Improve signal quality under challenging real-world conditions.
Sensor Fusion
-Build multi-sensor fusion frameworks combining optical, inertial, physiological, and environmental sensors.
-Enhance accuracy and reliability across different use cases and user populations.
Validation & Calibration
-Design calibration methodologies for wearable sensors.
-Define validation protocols and benchmark performance against clinical-grade references.
-Analyze large-scale datasets to improve algorithm accuracy and robustness.
Embedded Deployment
-Optimize algorithms for low-power embedded systems.
-Work with firmware teams to deploy algorithms on resource-constrained RTOS platforms.
-Improve computational efficiency, memory utilization, and battery consumption.
Research & Innovation
-Stay updated on advancements in digital health, biosignal processing, AI/ML, and wearable sensing technologies.
-Drive innovation through prototyping, experimentation, publications, and patent generation.
-Evaluate emerging sensing technologies and health metrics.
Cross-functional Leadership
-Collaborate with Hardware, Optical Design, Firmware, Mobile App, Cloud, and Product teams.
-Mentor junior engineers and establish best practices for algorithm development and validation.
Required Qualifications:
- Bachelors or Master's or PhD in:
-5-7+years of experience in wearable health algorithms, biosignal processing, or physiological data analytics.
- Biomedical Engineering
- Signal Processing
- Electrical Engineering
- Computer Science
- Applied Mathematics
- Related disciplines
Technical Skills:
Must Have
- Strong understanding of: Digital Signal Processing (DSP), Statistical Signal Analysis, Time-Series Analysis, Sensor Fusion, Physiological Signal Processing
- Hands-on experience with:
- PPG signal processing, Motion artifact reduction, HR and HRV estimation, Sleep algorithms, SpO₂ algorithms
- Proficiency in: Python, MATLAB, C/C++, Data analysis frameworks
- Experience with: Embedded deployment, RTOS-based systems, Low-power optimization
- Machine Learning and Deep Learning for physiological data.
Good to Have
- Clinical validation studies.
- Regulatory exposure (FDA, CE, ISO 13485).
- Patent filings and published research.