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Bosch Global Software Technologies Private Limited seeks a Biomedical Systems Engineer to design, develop and validate physiological sensing solutions for connected medical devices. You will work across sensor selection, signal acquisition, processing and validation, ensuring robust clinical relevance and safety across the product lifecycle.
The role requires strong biomedical domain knowledge, embedded engineering skills, and collaboration with hardware, software, and cloud teams to deliver
Bosch Global Software Technologies Private Limitedis 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.
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.
1. Physiological Understanding & Signal Definition(Core Biomedical Anchor)
Analyze physiological systems and identify clinically relevant measurable parameters
Define:
Pressure, flow, temperature
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: Selection of acquisition strategies
4. Signal Processing & Data Interpretation
Develop and validate: Filtering and smoothing techniques, Calibration and compensation models, Clinically meaningful metrics, Derived indicators (trend, anomaly, thresholds), 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:
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: Contribute to: Risk analysis (ISO 14971), Clinical risk mitigation strategies
8. Platform Re-usability
Physiological signal modeling, Sensor validation, Calibration approaches, Therapeutic devices
B.E / B.Tech in Biomedical Engineering / ECE / EEE
12–17 years embedded systems development, preferably with medical or regulated devices.
5–10 yearsin:
Biomedical engineering / medical devices / sensing systems
Experience in:
Sensor validation
Experimental/bench testing
Exposure to cross-functional development (HW + SW teams)
Strong understanding of:
Human physiology (any domain)
Physiological signal characteristics
Experience in:
Biomedical instrumentation
Sensor-based measurement systems
Sensor fundamentals (MEMS, optical, electrochemical basics)
Signal acquisition concepts:
Basic fluid/biophysical modeling (nice to have)
Programming:
Signal processing:
Filtering, calibration, time-series analysis
Basic understanding of:
Embedded systems (MCU, interfaces)
Data flow (BLE/Wi-Fi pipelines)
Software:
Exposure to:
Embedded platforms (preferred)
Data visualization tools
Working knowledge of:
ISO 13485
ISO 14971
Exposure to:
Verification & Validation
Design controls