Sr. Algorithm Engineer - Wearable Health & Sensor Algorithms
Noise · Gurugram · onsite · Posted 65d ago
Not disclosed5–7 yrsfulltimeSourced from
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About this role
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 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
Must Have
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 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
- 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.
- Build multi-sensor fusion frameworks combining optical, inertial, physiological, and environmental sensors.
- Enhance accuracy and reliability across different use cases and user populations.
- 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.
- 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.
- 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.
- Collaborate with Hardware, Optical Design, Firmware, Mobile App, Cloud, and Product teams.
- Mentor junior engineers and establish best practices for algorithm development and validation.
- 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
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.
- Clinical validation studies.
- Regulatory exposure (FDA, CE, ISO 13485).
- Patent filings and published research.
Sourced from foundit
Skills
PPG Signal ProcessingEmbedded DeploymentData analysis frameworksHR and HRV estimationMotion artifact reductionPhysiological Signal ProcessingSleep algorithmsSpO? algorithmsStatistical Signal AnalysisMatlabcTime Series AnalysisSensor FusionRTOS-based systemsLow-Power OptimizationPythonDeep LearningMachine Learning
About Noise
Noise
Consumer Electronics & Appliances
51
employees
Gurugram
IN
₹15.1L PA avg
Avg at Noise
About
Gonoise provides mobile accessories, camera accessories, and smart wearables. Noise is a tech-driven brand that puts the hottest gadgets/ gadget accessories in the hands of young Indian consumers. The Gurgaon based brand was founded by Mr. Amit Khatri & Mr. Gaurav Khatri, in 2014. We started our journey with smartphone cases, later diversifying into Smart Wearables, Action Cameras, Portable Speakers, Bluetooth Headphones and Wireless Chargers. We currently have a lineup of 12 technology accessories, in addition to over 500 smartphone case designs for more than 150 smartphone models. Noise has been listed as a bestselling brand on Amazon and Flipkart, for four years in a row. Kindly enjoy reading our blogs here http://www.gonoise.com/blogs/posts/ and don’t forget to like us on Facebook https://www.facebook.com/gonoise/ , follow us on Instagram https://www.instagram.com/go_noise/ and love our tweet and retweet them on Twitter https://twitter.com/gonoise .
Industries
Consumer Electronics & Appliances
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