Biomedical Systems Engineer – Connected MedTech

Roles & Responsibilities : The Biomedical Systems Engineer is responsible for defining, developing, and validating physiological sensing solutions for connected medical devices, ensuring accurate translation of biological signals into reliable engineering outputs . This role combines biomedical domain expertise with strong system, embedded, and data-oriented engineering capabilities , enabling development of scalable sensing solutions across a range of medical devices including diagnostic, therapeutic, and monitoring systems . The engineer will work across the lifecycle from physiological understanding ? sensor integration ? signal processing ? system validation , ensuring clinical relevance and engineering robustness. ? Key Responsibilities 1. Physiological Understanding & Signal Definition (Core Biomedical Anchor) Analyze physiological systems and identify clinically relevant measurable parameters Define: Pressure, flow, temperature Bio-signals (optional: ECG, SpO?, etc.) Map biological phenomena ? measurable electrical/physical signals Ensure clinical validity of measured parameters 2. Sensor Selection & Biomedical Validation Evaluate sensing technologies: MEMS, optical, thermal, electrochemical Define: Measurement range, sensitivity, response time Interaction with biological environments (fluids, tissues) Assess: Bio-compatibility considerations (early-stage) Impact of biological variability on signals 3. Signal Acquisition & Engineering Interface Work with electronics/embedded teams to define: Sensor interface requirements (AFE, ADC, sampling) Signal quality needs (noise, resolution) Support: Sensor integration into device architecture Selection of acquisition strategies 4. Signal Processing & Data Interpretation Develop and validate: Filtering and smoothing techniques Calibration and compensation models Convert raw data into: Clinically meaningful metrics Derived indicators (trend, anomaly, thresholds) Support implementation in: Embedded firmware or application layer 5. System Integration & Data Flow Understanding Define and validate end-to-end signal chain : Sensor ? Embedded ? Connectivity ? Application Work with: Embedded engineers (data acquisition) Mobile/cloud teams (data visualization & storage) Contribute to: Data formats (time-series, metadata) Interface/API definitions (basic level) 6. Experimental Design & Biomedical Validation Design and execute: Bench experiments Simulated physiological conditions Define: Test protocols Acceptance criteria Perform: Correlation with reference methods Repeatability and reliability analysis 7. Risk & Safety (Biomedical + System View) Identify: Physiological misinterpretation risks Sensor failure modes Contribute to: Risk analysis (ISO 14971) Clinical risk mitigation strategies 8. Platform Re-usability Develop reusable frameworks for: Physiological signal modeling Sensor validation Calibration approaches Enable reuse across: Patient monitoring systems Wearables Therapeutic devices Diagnostic platforms Educational qualification: B.E / in Biomedical Engineering / ECE / EEE Experience : 12–17 years embedded systems development, preferably with medical or regulated devices. 5–10 years in: Biomedical engineering / medical devices / sensing systems Experience in: Sensor validation Experimental/bench testing Exposure to cross-functional development (HW + SW teams) Mandatory/requires Skills : Biomedical Core Strong understanding of: Human physiology (any domain) Physiological signal characteristics Experience in: Biomedical instrumentation Sensor-based measurement systems Engineering Capability Sensor fundamentals (MEMS, optical, electrochemical basics) Signal acquisition concepts: ADC, sampling, noise Basic fluid/biophysical modeling (nice to have) Software & Data Awareness Programming: Python / MATLAB for data analysis Signal processing: Filtering, calibration, time-series analysis Basic understanding of: Embedded systems (MCU, interfaces) Data flow (BLE/Wi-Fi pipelines) Tools & Exposure Lab tools: DAQ systems, oscilloscopes, sensors Software: MATLAB / Python (NumPy, Pandas) Exposure to: Embedded platforms (preferred) Data visualization tools Preferred Skills : Working knowledge of: ISO 13485 ISO 14971 Exposure to: Verification & Validation Design controls Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.