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 creative 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.

📌 Voice AI Systems Engineer (Hyderabad)
🏢 Important Business
📍 Hyderabad