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Strong ADI brand and Bangalore location increase applicant density despite niche automotive audio DSP requirements.
Highly specialized automotive audio DSP and embedded expertise limits transferability across industries.
Explicit 7-8 years plus ADI DSP, embedded C/C++, RTOS, and automotive algorithm mandates make filtering strict.
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Define, develop, and productize automotive in-car infotainment audio algorithms spanning echo cancellation, noise cancellation, sound zones, in-car communication, voice activity detection, and trigger word recognition.
Own the full algorithm lifecycle including design, simulation, embedded implementation on ADI DSP and ARM-based SoCs, integration into embedded automotive software stacks, validation, tuning, and system-level verification of real-time products.
Collaborate cross-functionally with systems, firmware, QA, product, and customer teams to refine features, validate in real vehicles, support customer integrations, apply AI/ML to enhance algorithms, and use AI-enabled tools to improve engineering efficiency and quality.
7-8 years of experience in audio signal processing and AI-enabled algorithm development on embedded platforms.
Bachelor’s or Master’s degree in Electrical/Electronics & Communication, Computer Science, Signal Processing, Embedded Systems, or equivalent.
Strong programming skills in Embedded C/C++ and embedded systems fundamentals including RTOS concepts, concurrency, timing, and debugging.
Experience developing and integrating software on ADI DSPs and ARM-based SoC/ASSP platforms with real-time performance optimization including algorithm-to-embedded translation (floating/fixed point, latency, memory profiling).
Experienced in automotive audio infotainment software projects with familiarity in cabin audio use cases such as AEC, voice enhancement, RNC/ANC, beamforming, sound zones, and in-car communication.
Proficient in applying AI/ML techniques within audio signal processing contexts and comfortable using AI-enabled tools for coding, testing, debugging, and documentation with engineering rigor.
Strong ownership mindset demonstrated by ability to work independently, rapidly prototype, iterate per change requests, and deliver production-quality, optimized embedded algorithms.