Embedded AI Engineer (Hybrid) for Low-Power Hearing Tech

Sonova Group; Stäfa; Hybrid; CHF 120,000 - 165,000; Full time

Job summary

Sonova Group is seeking a Software Engineer Embedded AI to bridge cutting-edge AI with ultra-low-power embedded hearing devices. You will develop the embedded AI software stack for our next-generation hearing instruments and collaborate across AI, DSP, and hardware teams to optimize performance within tight latency and energy constraints.

You will work on prototyping, production-ready features, and deployment strategies, while ensuring code quality, documentation, and robust testing.

Qualifications

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

Responsibilities

• Develop firmware for a deeply embedded AI platform operating under strict latency, memory, compute, and energy constraints.
• Design, implement, and maintain the embedded AI software stack with optimization for performance, latency, and energy efficiency.
• Collaborate with AI and DSP experts to analyze and deploy DNN algorithms in hearing-device applications.
• Tailor AI algorithms to the embedded platform and its constraints (quantization, memory, compute, power).
• Implement prototypes, bring them to production-ready features and integrate them into our system in collaboration with other engineering teams.
• Ensure high software quality through clean-code practices, code reviews, testing, documentation, maintenance, and root-cause analysis.
• Continuously improve development methodologies, tools, design patterns, and best practices for efficient ML/DNN development and deployment.

Skills

embedded C++

Python

object-oriented programming

English communication

Education

Degree in Computer Science or Electrical Engineering

Tools

TensorFlow Lite

ONNX

TVM

ExecuTorch

Job description

Sonova Group is seeking a Software Engineer Embedded AI to bridge cutting-edge AI with ultra-low-power embedded hearing devices. You will develop the embedded AI software stack for our next-generation hearing instruments and collaborate across AI, DSP, and hardware teams to optimize performance within tight latency and energy constraints.

You will work on prototyping, production-ready features, and deployment strategies, while ensuring code quality, documentation, and robust testing.