Voice AI Systems Engineer

Overview

Design and implement audio and speech signal processing solutions that combine signal processing and machine learning, optimized for deployment on next-generation Snapdragon platforms across mobile, XR, compute, IoT and automotive markets.

What you'll do

• Design and develop end-to-end software audio systems, including 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 against 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, 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 validation and benchmarking analysis with open-source models, and 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.

What you'll need

• Master's or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field, or a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• Solid background in audio signal processing fundamentals.
• Proven experience 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 model architectures such as CNNs, RNNs, U-Nets and Transformers for audio applications.
• Expertise in both fixed-point and floating-point implementation.
• Demonstrated ability in audio system design, acoustic measurements and performance analysis.
• Excellent communication, presentation and cross-functional teamwork skills.
• Quick learner, self-motivated, and capable of working independently across geographically dispersed teams.

Nice to have

• Familiarity with DSP intrinsic and assembly programming.

Details

• Location: Hyderabad, Telangana, India.