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Job Description: 1.Mathematics Proficiency: Strong 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
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 4112 that say).
From live job posts on CoreHRx, updated 12 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post states ₹14 LPA.
In Bangalore.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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