Embedded AI Engineer for Low-Power Hearing Devices

Sonova AG; Stäfa; Hybrid; CHF 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Flexible hybrid working model

Training and development opportunities

Growth opportunities with development 

Zusammenfassung

Sonova AG in Switzerland is seeking a Software Engineer Embedded AI to bridge cutting-edge AI and ultra-low-power embedded systems. You will develop the embedded AI software stack for our next-generation hearing instruments, shaping the technology and directly influencing product performance.

You will collaborate with AI and DSP experts, deploy DNNs on constrained hardware, optimize for latency, memory and energy, and help bring production-ready features into our embedded platform within a

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 deeply embedded AI platform under strict latency, memory and energy limits.
• Design, implement, maintain embedded AI software stack optimizing performance and energy.
• Collaborate with AI and DSP experts to deploy DNN algorithms in hearing-device apps.
• Tailor AI algorithms to platform constraints (quantization, memory, compute, power).
• Bring prototypes to production-ready features and integrate with other teams.
• Ensure high software quality through clean-code practices, testing, documentation, maintenance and root-cause analysis.

Kenntnisse

Embedded C++

Python

Object-oriented programming

Ausbildung

Degree in Computer Science / Electrical Engineering

Tools

TensorFlow Lite

ONNX

TVM

ExecuTorch

Jobbeschreibung

Sonova AG in Switzerland is seeking a Software Engineer Embedded AI to bridge cutting-edge AI and ultra-low-power embedded systems. You will develop the embedded AI software stack for our next-generation hearing instruments, shaping the technology and directly influencing product performance.

You will collaborate with AI and DSP experts, deploy DNNs on constrained hardware, optimize for latency, memory and energy, and help bring production-ready features into our embedded platform within a