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Job Description
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.
• 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 and the ability to work in a fast-paced environment.
• Strong communication and teamwork skills.
More Info
Key Skills
CMSIS-NN
Hexagon NN
fixed-point programming
TensorFlow Lite for Microcontrollers
audio denoising algorithms
HiFi NN extensions
TensorFlow Lite
Open Neural Network Exchange Runtime
Noise Suppression
Qualcomm Neural Network
speech enhancement techniques
Qualcomm AI Runtime
XNNPACK
Nature DSP
LiteRT
