Audio Systems Engineer

- Design and develop end-to-end software audio solutions - Create, prototype, and commercialize innovative audio solutions using both traditional signal processing and ML frameworks. - Implement, validate, and troubleshoot audio features running on snapdragon platform -Develop, optimize, and deploy audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. - Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. - Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. - Perform System level performance testing and measurements, lead demo prototyping efforts. - Work closely with internal engineering teams and customers to drive successful commercialization of audio technologies. - Solid background in audio processing and DSP fundamentals. - Proven experience in developing, implementing, and debugging audio solutions on any embedded platform based on ARM, DSP or RISC or HiFi - Strong programming skills in Embedded C/C++, and Python. - Experience with embedded platforms, DSP architecture, real-time operating systems, and software design patterns. - Expertise in both fixed-point and floating-point implementation. - Excellent communication, presentation, and cross-functional teamwork skills. - Quick learner, self-motivated, and capable of working independently across geographically dispersed teams. - Master's or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.