Job Description:

1. Mathematics Proficiency: Solid understanding of linear algebra, calculus, and probability theory, as these are foundational for DSP concepts.

2. Programming Skills: Proficiency in programming languages such as Python, MATLAB, or C/C++ for implementing DSP algorithms and simulations.

3. Signal Analysis: Knowledge of techniques for analysing signals, including time-domain and frequency-domain analysis.

4. Filter Design: Understanding of digital filter design techniques, including FIR and IIR filters.

5. Fourier Transform: Familiarity with Fourier Transform concepts, including the Fast Fourier Transform (FFT) for signal processing.

6. Sampling Theory: Knowledge of sampling concepts, including Nyquist theorem and aliasing.

7. Communication Systems: Basic understanding of communication theory and systems,



including modulation and demodulation techniques.

8. Software Tools: Usage of DSP software tools and environments, such as MATLAB, Simulink, Code Studio or any.

9.IDEs: Usage of development tools like Microsoft Visual studio, understanding of make files, Python scripts.

10. Problem-Solving Skills: Ability to troubleshoot and solve problems related to signal processing applications.

11. Team Collaboration: Strong communication and teamwork skills to work effectively in a collaborative environment.

Mandatory Skills:

1. C,C++

2. Basics of Audio Signal Processing.

3. Code Optimization (Ten silica HiFi Intrinsics or ARM Intrinsics & Assembly)

4. Linux Make files

📌 Audio Engineer (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India