Minimum Qualifications
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.
Solid 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
Robust scripting skills in MATLAB or Python.
Proficiency in programming languages such as C and C++.
Excellent problem-solving skills and the ability to work in a rapid-paced environment.
Strong communication and teamwork skills.

📌 Ai Audio Dsp Hyderabad
🏢 Qualcomm
📍 Hyderabad