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Tier-1 employer in Bangalore but highly specialized embedded audio/automotive DSP skill reduces candidate pool.
Specialized audio signal processing and embedded DSP expertise limits cross-industry transferability.
Explicit 7–8 year requirement plus mandatory embedded DSP, automotive and algorithm expertise enforces strict filtering.
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Define, develop, prototype, and productize automotive in-car infotainment audio algorithms across the cabin audio signal chain including Acoustic Echo Cancellation, Road Noise Cancellation, Personalized Sound Zones, and related algorithms.
Own full algorithm lifecycle: requirements interpretation, design, simulation, development, validation, tuning, embedded implementation, and optimization on ADI DSP and ARM-based SoC platforms ensuring real-time performance and memory efficiency.
Integrate audio algorithms into embedded automotive software stacks, perform system-level integration and verification, collaborate with cross-functional teams, and apply AI/ML methods and AI-enabled tools to improve robustness and productivity.
Bachelor’s or Master’s degree in Electrical/Electronics & Communication, Computer Science, Signal Processing, Embedded Systems or equivalent.
7-8 years of experience in audio signal processing and AI-enabled algorithm development on embedded platforms.
Strong programming skills in Embedded C/C++ with embedded systems fundamentals and experience developing on ADI DSP and ARM-based SoC platforms.
Practical experience applying AI/ML techniques in audio enhancement and comfort using AI-enabled engineering tools; exposure to automotive audio infotainment domain preferred.
Demonstrated ability to manage full algorithm lifecycle from concept through embedded implementation and product integration in automotive infotainment audio.
Experienced in real-time and performance-critical embedded development on DSP and ARM platforms with focus on algorithm optimization and system-level debugging.
Comfortable applying AI/ML methods to signal processing problems and using AI-enabled tools to accelerate engineering tasks, with strong ownership and independent problem-solving focus.