{"id":2903950,"url":"https://alion.io/job/noise-sr-algorithm-engineer-wearable-health-sensor-algorithms","title":"Sr. Algorithm Engineer - Wearable Health & Sensor Algorithms","company":{"id":7025,"name":"Noise","domain":"gonoise.com","url":"https://alion.io/company/noise","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Freshteam","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"RTOS","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-20T07:23:25Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T13:44:28Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Role: Algorithm Engineer\nLocation: Gurugram, India (Onsite)\nAbout the Role\nWe 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.\nThis role involves working closely with hardware, firmware, data science, cloud, and product teams to build industry-leading health monitoring experiences.\nKey Responsibilities:\nHealth Algorithm Development\n- 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\nSignal Processing\n-Develop robust signal processing pipelines for: PPG (Photoplethysmography), ECG, Accelerometer, Gyroscope, Temperature Sensors, Bioimpedance Sensors\n-Design motion artifact removal and noise suppression algorithms.\n-Improve signal quality under challenging real-world conditions.\nSensor Fusion\n-Build multi-sensor fusion frameworks combining optical, inertial, physiological, and environmental sensors.\n-Enhance accuracy and reliability across different use cases and user populations.\nValidation & Calibration\n-Design calibration methodologies for wearable sensors.\n-Define validation protocols and benchmark performance against clinical-grade references.\n-Analyze large-scale datasets to improve algorithm accuracy and robustness.\nEmbedded Deployment\n-Optimize algorithms for low-power embedded systems.\n-Work with firmware teams to deploy algorithms on resource-constrained RTOS platforms.\n-Improve computational efficiency, memory utilization, and battery consumption.\nResearch & Innovation\n-Stay updated on advancements in digital health, biosignal processing, AI/ML, and wearable sensing technologies.\n-Drive innovation through prototyping, experimentation, publications, and patent generation.\n-Evaluate emerging sensing technologies and health metrics.\nCross-functional Leadership\n-Collaborate with Hardware, Optical Design, Firmware, Mobile App, Cloud, and Product teams.\n-Mentor junior engineers and establish best practices for algorithm development and validation.\nRequired Qualifications:\nBachelors or Master's or PhD in:\n-5-7+years of experience in wearable health algorithms, biosignal processing, or physiological data analytics.\nBiomedical Engineering\nSignal Processing\nElectrical Engineering\nComputer Science\nApplied Mathematics\nRelated disciplines\nTechnical Skills:\nMust Have\nStrong understanding of: Digital Signal Processing (DSP), Statistical Signal Analysis, Time-Series Analysis, Sensor Fusion, Physiological Signal Processing\nHands-on experience with:\nPPG signal processing, Motion artifact reduction, HR and HRV estimation, Sleep algorithms, SpO₂ algorithms\nProficiency in: Python, MATLAB, C/C++, Data analysis frameworks\nExperience with: Embedded deployment, RTOS-based systems, Low-power optimization\nMachine Learning and Deep Learning for physiological data.\nGood to Have\nClinical validation studies.\nRegulatory exposure (FDA, CE, ISO 13485).\nPatent filings and published research.","description_format":"text","description_chars":3457,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Electronics"],"lifecycle":[{"event":"open","at":"2026-10-20T07:23:25Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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