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HIFI Audio AI

HIFI Audio AI

Qualcomm
Fresher
Not Disclosed
Early Applicant
  • Posted 13 hours ago
  • Be among the first 10 applicants

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

About Company