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Tier-1 brand but niche embedded ML/DSP senior role reduces applicant density.
Highly specialized embedded audio DSP and automotive ML skills limit cross-industry transferability.
Multiple mandatory requirements: 8-10 years, audio DSP, ADI DSP/embedded C++ and ML experience.
Develop, prototype, and productize automotive in-car infotainment audio algorithms including AEC, RNC, PSZ, ICC, voice detection and recognition.
Own full algorithm lifecycle: requirements interpretation, design, simulation, development, validation, tuning, and embedded implementation on ADI DSP and ARM-based SoC platforms ensuring real-time performance.
Integrate audio algorithms into automotive embedded software stacks, support system-level integration, debugging, cross-functional collaboration, and use AI-enabled engineering tools to accelerate development.
8-10 years 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++, with experience on ADI DSPs and ARM-based SoC/ASSP platforms.
Practical exposure to AI/ML techniques in signal processing/audio enhancement and ability to use AI-enabled engineering tools for coding, testing, debugging, documentation.
Experienced in automotive audio infotainment domain with hands-on knowledge of AEC, voice enhancement, noise cancellation, beamforming, in-car communication.
Comfortable managing full algorithm lifecycle independently, working cross-functionally, and producing production-ready embedded implementations under real-time constraints.
Operates effectively in highly technical, product-focused environments requiring rapid prototyping, iterative development, and system-level integration including multi-domain debugging.