Role: Algorithm Engineer

Location: Gurugram, India (Onsite)

About the Role

We are looking for a highly experienced Algorithm Engineer to lead the development of next-generation health and wellness algorithms for wearable devices including smartwatches, smart rings, and fitness trackers. The ideal candidate will have robust 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 (SpO ), 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 Masters 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, SpO 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.

Disclaimer: This has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users.

We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Sr. Algorithm Engineer - Wearable Health & Sensor Algorithms (Gurugram)
🏢 Nexxbase Marketing
📍 Gurugram