Low-Power Embedded AI Engineer for Hearing Devices

Sonova Gruppe; Stäfa; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible hybrid working model

Zusammenfassung

Sonova in Switzerland is seeking a Software Engineer Embedded AI to bridge AI and ultra-low-power hearing devices. You will develop the embedded AI software stack that forms the foundation of our next-generation hearing instruments.

Join us to deploy DNNs on constrained platforms, optimize for latency and energy, and collaborate with AI and DSP experts to push edge AI capabilities while maintaining high software quality and robust documentation.

Qualifikationen

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

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 focused on performance and energy efficiency.
• Collaborate with AI and DSP experts to deploy DNNs in hearing-device applications.
• Tailor AI algorithms to the embedded platform, including quantization and memory considerations.
• Bring prototypes to production-ready features and integrate them with other engineering teams.
• Ensure high software quality through clean-code practices, testing, and documentation.

Kenntnisse

Embedded C++

Python

Object-oriented programming

English fluency

DNN deployment

DSP knowledge

Audio processing

Quantization

CUDA (advantage)

Team collaboration

Ausbildung

Degree in Computer Science/EE or related field

Tools

TensorFlow Lite

ONNX

TVM

ExecuTorch

Jobbeschreibung

Sonova in Switzerland is seeking a Software Engineer Embedded AI to bridge AI and ultra-low-power hearing devices. You will develop the embedded AI software stack that forms the foundation of our next-generation hearing instruments.

Join us to deploy DNNs on constrained platforms, optimize for latency and energy, and collaborate with AI and DSP experts to push edge AI capabilities while maintaining high software quality and robust documentation.