Senior Signal Processing Engineer

1 - 4 years

10 - 18 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a passionate and skilled Signal Processing & Machine Learning expert. An engineer is needed to join our R&D team in Pune, Maharashtra. The selected candidate will be responsible for designing advanced signal processing algorithms, applying machine learning techniques for time-series data, and deploying robust, real-time solutions across different application domains.

Key Responsibilities:

  • Research, design, and implement signal processing algorithms (filtering, FFT, STFT, wavelet transforms, spectral analysis)
  • Develop and train ML/DL models for predictive modeling, anomaly detection, and signal classification
  • Work with time-series and sensor data: preprocessing, noise reduction, and feature engineering
  • Optimize algorithms for real-time applications and embedded systems.
  • Collaborate with hardware, data science, and software teams for system-level integration
  • Stay updated on the latest advancements in DSP and ML research to bring innovative ideas
  • Prepare technical documentation, reports, and presentations for both internal and external stakeholders.

Required Qualifications & Skills

  • M.Tech or Ph.D. in Signal Processing, Electrical/Electronics Engineering, or equivalent
  • Experience in Underwater Signal Processing would be preferred
  • 03 years of professional/industrial experience in signal processing & ML
  • Strong knowledge of DSP fundamentals: transforms, filtering, spectral analysis, adaptive methods
  • Hands-on experience with Python, MATLAB, or C/C++
  • Familiarity with ML libraries/frameworks: TensorFlow, PyTorch, Scikit-learn
  • Proven work on time-series/sensor data analysis
  • Strong foundation in statistics, linear algebra, and optimization.

Preferred Skills (Good to Have)

  • Deep learning for signal and time-series data (CNNs, RNNs, Transformers)
  • Underwater Signal Processing
  • Experience with real-time embedded systems (DSP processors, FPGAs, GPUs)
  • Application exposure in wireless communication, vibration/acoustic analysis, or radar/sonar.

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