Voice AI Systems Engineer

Qualcomm is hiring for the role of Voice AI Systems Engineer! Responsibilities of the Candidate: Design and develop end-to-end software audio system, including both reference design and IP, with a primary focus on echo cancellation, noise suppression and speech enhancement algorithms. Create, prototype, and commercialize innovative audio solutions using both traditional signal processing and ML methodologies. Analyze and validate performance of audio subsystems to meet strict metrics for robustness, power, and stability on Qualcomm platforms. Implement, test, and troubleshoot fixed-point and floating-point algorithms, including ML-based audio features. 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 algorithm performance validations and benchmarking analysis with open-source models, lead demo prototyping efforts. Work closely with internal engineering teams and customers to drive successful commercialization of audio technologies. Support diversity and inclusion within Qualcomm and exhibit adaptability in a dynamic, multi-tasking team environment. Requirements: Solid background in audio signal processing fundamentals. Proven experience in developing, implementing, and debugging audio algorithms using both signal processing and ML approaches. Knowledge of Audio features, Echo Cancellation, Noise Suppression and Speech enhancement algorithms Strong programming skills in Embedded C/C++, Matlab, and Python. Experience with embedded platforms, DSP architectures, real-time operating systems, and software design patterns. Familiarity with different model architecture, CNNs, RNNs, U-Nets, Transformers, for use in audio applications. Expertise in both fixed-point and floating-point implementations. Demonstrated ability in audio system design, acoustic measurements, and performance analysis. Familiarity with DSP intrinsic and assembly programming is a plus. Excellent communication, presentation, and cross-functional teamwork skills. Quick learner, self-motivated, and capable of working independently across geographically dispersed teams. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Master's or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field.