Embedded AI Software Engineer — Low-Power DSP & DNN

Job-Room; Stäfa; Hybrid; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

Sonova is seeking a Software Engineer Embedded AI to bridge AI and ultra-low-power embedded systems. You will develop the embedded AI software stack for next-generation hearing instruments and influence product performance.

You will collaborate with AI and DSP experts, tailor AI algorithms to the embedded platform, and ensure high quality through code reviews, testing, and documentation. Fluent English is required.

Qualifikationen

• Degree in Computer Science, Electrical Engineering, or a related technical field.
• Hands-on experience with embedded C++ and Python.
• Experience deploying neural networks on embedded systems with frameworks like TensorFlow Lite/ONNX/TVM.

Aufgaben

• Develop firmware for a deeply embedded AI platform with strict latency, memory, compute, and energy constraints.
• Design, implement, and maintain the embedded AI software stack optimizing performance and energy efficiency.
• Collaborate with AI and DSP experts to deploy DNN algorithms in hearing-device applications.

Kenntnisse

Embedded C++

Python

Object-oriented programming

Fluent English

Ausbildung

Degree in Computer Science or Electrical Engineering

Tools

TensorFlow Lite

ONNX

TVM

ExecuTorch

CUDA

Jobbeschreibung

Sonova is seeking a Software Engineer Embedded AI to bridge AI and ultra-low-power embedded systems. You will develop the embedded AI software stack for next-generation hearing instruments and influence product performance.

You will collaborate with AI and DSP experts, tailor AI algorithms to the embedded platform, and ensure high quality through code reviews, testing, and documentation. Fluent English is required.