Embedded AI Engineer for Next-Gen Hearing Tech

Sonova Group

Stäfa

Hybrid

CHF 110.000 - 140.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Flexible hybrid working model
Training opportunities
Individual development plans

Zusammenfassung

Sonova Group is seeking a Software Engineer Embedded AI to develop the firmware stack for our next-generation hearing instruments. You will bridge AI and ultra-low-power embedded systems, delivering optimized software that runs neural networks on an embedded platform.

You will collaborate with AI/DSP experts to deploy and adapt DNN algorithms, focusing on latency, memory, and energy efficiency while maintaining high software quality and robust documentation.

Qualifikationen

  • Degree in Computer Science, Electrical Engineering, or related technical field.
  • Hands-on experience with embedded C++ and Python.
  • Experience deploying neural networks on embedded systems (TensorFlow Lite, ONNX, TVM or similar).
  • Knowledge of embedded compilers and system-level simulation.

Aufgaben

  • Develop firmware for an embedded AI platform with tight latency and energy constraints.
  • Design and optimize the embedded AI software stack for performance and efficiency.
  • Collaborate with AI and DSP experts to deploy DNNs in hearing-device applications.
  • Tailor AI algorithms to the platform constraints and hardware.

Kenntnisse

Embedded C++
Python
OO programming
English communication

Ausbildung

Bachelor's degree in Computer Science or Electrical Engineering

Tools

TensorFlow Lite
ONNX
TVM
ExecuTorch
CUDA

Jobbeschreibung

Sonova Group is seeking a Software Engineer Embedded AI to develop the firmware stack for our next-generation hearing instruments. You will bridge AI and ultra-low-power embedded systems, delivering optimized software that runs neural networks on an embedded platform.

You will collaborate with AI/DSP experts to deploy and adapt DNN algorithms, focusing on latency, memory, and energy efficiency while maintaining high software quality and robust documentation.

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