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python machine learning c/c++ dsp signal processing📋 Description
- Design, develop, and validate signal processing for cardiac and pulmonary sounds.
- Architect and deploy on-device ML models for resource-constrained microcontrollers.
- Own the full algorithm lifecycle from requirements to monitoring.
- Collaborate with firmware, clinical, and data science teams on labeling and evaluation.
- Contribute to on-device model optimization using TensorFlow Lite.
- Develop test benches and FDA IEC 62304 compliant docs and verifications.
🎯 Requirements
- 7+ years designing and deploying signal processing in production.
- Strong DSP: FIR/IIR, spectral analysis, and time-frequency methods.
- Hands-on ML/DL experience (CNNs, RNNs, transformers) for time-series.
- Embedded targets: TensorFlow Lite and embedded inference familiarity.
- Python (NumPy, SciPy) for development; PyTorch or TensorFlow; C/C++ knowledge.
- Real-time constraints and edge-device optimization; experience with model compression.
🎁 Benefits
- Generous paid time off.
- Stock incentive plans.
- Medical/Dental/Vision, Disability + Life Insurance.
- One Medical membership.
- Parental Leave.
- 401k Matching.
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