DSP HIFI development Engineer

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. 

Education Requirements 

Bachelors or Masters or PhD in Electrical Engineering, Electronics and Communications or related field with 2+ years of experience

Minimum Qualifications:

•   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field.