Software Engineer Embedded AI (m/f/d)

Sonova AG; 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

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At Sonova, we envision a world where everyone can enjoy the delight of hearing. This vision inspires us and fuels our commitment to developing innovative solutions that improve hearing health and human connection - from personal audio devices and wireless communication systems to hearing aids and cochlear implants. We're dedicated to providing outstanding customer experiences through our global audiological care services, ensuring that everyone has the opportunity to engage fully with the world around them.

Here you’ll find a diverse range of opportunities that span both consumer and medical solutions and the freedom to shape your career while making an impact on the lives of others. Join us in our mission to create a more connected world, where every voice is heard and every story matters.

Software Engineer Embedded AI (m/f/d)

At Sonova R&D, we are not just developing hearing devices, we are shaping the future of hearing technology. At the heart of this transformation is the deployment and execution of neural networks on our next-generation embedded platform. This requires innovative tools and firmware infrastructure, giving you the opportunity to directly influence the performance of our products.

As our new Software Engineer Embedded AI you will bridge the gap between cutting-edge AI and ultra-low-power embedded systems. You will develop the embedded AI software stack that forms the foundation of our next-generation hearing instruments.

Are you excited to explore new technological territory and play a pivotal role in shaping Sonova’s edge AI capabilities? Join us and help rethink how embedded software is built to enhance people’s hearing experience and quality of life.

More about the role

• 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 including 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 (e.g., quantization, memory, compute and 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

More about you

• 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, including familiarity with deployment frameworks such as TensorFlow Lite, ONNX, TVM, or ExecuTorch
• Knowledge of embedded compilers, micro-NPUs, and system-level simulation
• Experience with CUDA is an advantage
• Knowledge of audio or digital signal processing is an advantage
• Experience in bringing features to products is an advantage
• Fluent English, with strong written and verbal communication skills

More about what we offer

As one of the world’s leading hearing care providers headquartered inSwitzerland,we’recommitted to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.

Sonova is an equal opportunity employer.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.