AI AUDIO DSP

About the Role

This role focuses on AI Audio DSP.

Key Responsibilities

• Developing and optimizing neural network (NN) workloads on digital signal processor (DSP) architectures.
• Working with neural network (NN) frameworks and runtimes.
• Utilizing neural network (NN) optimized libraries and extensions.
• Converting MATLAB algorithms into platform code.
• Applying knowledge of fixed-point programming.
• Implementing speech enhancement techniques, including Echo Cancellation and Noise Suppression (ECNS) algorithms or audio denoising algorithms and models.

Requirements & Tech Stack

• Experience developing and optimizing neural network (NN) workloads on any digital signal processor (DSP) architectures such as HiFi, Hexagon, or ARM/MCU.
• Experience working with neural network (NN) frameworks and runtimes such as LiteRT/TensorFlow Lite (TFLite), Open Neural Network Exchange Runtime (ONNX Runtime), TensorFlow Lite for Microcontrollers (TFLM), Qualcomm Neural Network (QNN), or Qualcomm AI Runtime (QAIRT).
• Experience using neural network (NN) optimized libraries and extensions such as HiFi NN extensions, Nature DSP, XNNPACK, CMSIS-NN, or Hexagon NN (HexNN).
• Experience converting MATLAB algorithms into platform code, such as embedded C.
• Knowledge of fixed-point programming.
• Strong understanding of speech enhancement techniques, including Echo Cancellation and Noise Suppression (ECNS) algorithms or audio denoising algorithms and models.
• Strong background in digital signal processing (DSP) and embedded concepts.
• Strong scripting skills in MATLAB or Python.
• Proficiency in programming languages such as C and C++.
• Excellent problem-solving skills.
• Ability to work in a fast-paced environment.
• Strong communication and teamwork skills.