
Audio signal processing Engineer
3 days ago
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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