Deep Learning Engineer
Deep Learning Engineer
- Art der Anstellung: Vollzeit
- 106.500 CHF – 130.500 CHF (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Deep Learning Engineer
Über diesen Job
Who we are
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.
Guided by a culture of continuous improvement that fosters resilience and self-motivation, our team is united by a shared commitment to excellence and a deep sense of pride in our work, each of us playing a vital role in creating meaningful change,
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.
Staefa, Switzerland
Deep Learning Engineer
At Sonova R&D, we're not just developing hearing devices; we're shaping the future of hearing technology. Core of this revolution is the ability to deploy and execute neural networks on our next generation embedded platform. This calls for innovative tooling and firmware infrastructure - a challenge where you can have a great impact on the performance of our products.
We are looking for you, as our new colleague and embedded software engineer. In this role, you bridge between cutting-edge AI and ultra low-power embedded systems by developing our embedded AI software stack.
Are you curious to explore these uncharted territories?
Are you willing to play a pivotal role in shaping Sonova's edge AI foundation by ensuring a top-notch performance in our next-generation hearing instruments?
Are you ready to explore a new field of innovation and help us rethink the way embedded software is built, to enhance people’s quality of hearing?
Your tasks
- Implement firmware on a deeply embedded AI platform with tight latency, memory, compute and energy constraints
- Collaborate with our AI and DSP experts to analyze Sonova’s audio AI algorithms for hearables and hearing aid applications
- Tailor AI algorithms to the embedded platform (e.g. quantization, scaling according to the memory and compute constraints)
- Optimize performance, energy, latency throughout the entire embedded AI software stack
Your profile
- Degree in computer science, electrical engineering or a comparable qualification
- Profound experience in embedded C/C++, Python, and object-oriented programming
- Experience with embedded neural networks and their deployment frameworks (TFLite, ONNX, TVM, …), compilers, micro NPUs and system simulations.
- Knowledge in audio processing would be a plus
- Fluent in English
 We can offer you a new challenge, with interesting tasks and much more – including an open corporate culture, flat hierarchies, support for further training and development, opportunities to take on responsibility, an excellent range of foods, sports and cultural facilities, attractive employment conditions, and flexible working time models in various roles. 
Employment level 80-100%. 
Gianni S. Raffi, Senior Talent Acquisition Manager, is looking forward to receiving your complete application (cover letter, CV, references, and certificates) via our online job application platform.
For this vacancy only direct applications will be considered.
Gehalts-Prognose
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 339 BewertungenVorteile für Mitarbeitende
Unternehmenskultur
Unternehmenskultur
339 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Sonova Group als ausgeglichen zwischen traditionell und modern.Dies stimmt ungefähr mit dem Branchen-Durchschnitt überein.
