Audio signal processing Engineer

3 days ago

Bengaluru, Karnataka, India Cloudbc Labs Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title: Audio Signal Processing Engineer

Experience: 25 Years

Location: Bangalore (Remote)

Job Type: Full Time

Job Summary:

We are seeking a skilled and motivated Audio Signal Processing Engineer with 2–4 years of hands-on experience in audio signal analysis, digital signal processing (DSP), and expertise in Fourier transformations. You will be responsible for developing, optimizing, and maintaining audio processing algorithms for real-time or offline systems, contributing to cutting-edge audio technology solutions.

Key Responsibilities:

  • Design and implement audio signal processing algorithms, including filtering, noise reduction, echo cancellation, and beamforming.
  • Apply Fourier Transform techniques (FFT, STFT, etc.) to analyze, visualize, and manipulate audio signals.
  • Work with time-domain and frequency-domain audio features for applications such as speech enhancement, recognition, and classification.
  • Collaborate with cross-functional teams (e.g., ML, embedded, frontend) to integrate DSP modules into products.
  • Evaluate and optimize algorithm performance in terms of latency, accuracy, and computational efficiency.
  • Perform audio data acquisition, preprocessing, and annotation tasks as required.
  • Maintain clear documentation of processes, algorithms, and performance benchmarks.

Required Skills:

  • Strong understanding of Audio Signal Processing concepts and algorithms.
  • Proficient in Fourier Transformations (FFT, DFT, STFT) and spectral analysis.
  • Hands-on experience with Python or MATLAB for signal analysis and prototyping.
  • Experience with DSP libraries and frameworks (e.g., NumPy, SciPy, Librosa, PyDub).
  • Familiarity with digital filters (FIR, IIR), convolution, correlation, and windowing techniques.
  • Understanding of real-time audio systems and streaming data.

Preferred Qualifications:

  • Experience with machine learning techniques applied to audio (e.g., audio classification, speech recognition).
  • Knowledge of embedded DSP systems or frameworks like TensorFlow Lite, ONNX, or AudioKit.
  • Familiarity with tools like Audacity, Praat, or Sonic Visualiser.
  • Exposure to audio codecs, compression, and audio file formats (e.g., WAV, MP3, FLAC).
  • Master's degree in Electrical Engineering, Computer Science, Acoustics, or related field (preferred).

Why Join Us?

  • Work on challenging problems in the field of audio and acoustic technologies.
  • Be part of a collaborative and innovative team pushing the boundaries of audio tech.
  • Competitive salary and benefits.
  • Opportunities for learning, development, and career growth.

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