Digital Signal Processing Expert
On-siteCoimbatore, Tamil Nadu, India
Job Summary
Develop signal processing and AI/ML algorithms for interior sensing applications, specifically Driver Monitoring Systems that warn distracted or impaired drivers. Design and implement edge-optimized solutions using FFTs, filter design, and deep learning models for real-time processing on resource-constrained devices. Conduct systematic technical decision-making, coding, unit testing, and documentation while collaborating across multidisciplinary teams to drive concepts from inception to mass production. Requires 4+ years of industry experience in signal processing, machine learning, and algorithm development with proficiency in Python, C++, and TensorFlow/PyTorch.
Required Qualifications
- Expertise in any of the following domain: Biomedical signal processing, Speech Signal processing, Wireless signal processing, Sensor signal processing, Computer Vision
- Hands-on experience and intermediate to expert-level proficiency in ML, deep learning algorithms, and signal processing
- Proficient in implementing signal processing algorithms in C/C++
- Bachelor's or Master's degree in relevant fields such as Electronics, Instrumentation, or Telecommunication
- 4+ years of industry experience in related fields
- Strong in signal processing and algorithm development – FFTs, filter design, wavelets, etc.
- Strong theoretical understanding in linear algebra concepts such as vector space and sub-spaces
- Proficient in statistical signal processing concepts, including estimators, and statistical models
- Knowledge of machine learning and deep learning models for time-series data
- Extensive experience in optimizing and implementing algorithms for real-time processing on resource-constrained edge devices
- Advanced mathematical, analytical, and problem-solving
- Experience in data analysis and data visualization, creating insights from large and complex sensor datasets
- Solid programming expertise in Python, Tensorflow/PyTorch, C++
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