Deep Learning Engineer — Sonova
- Location
- Staefa
- Contract
- other
- Posted
- 49 days ago
Role overview
At Sonova R&D, we develop deep learning algorithms that help people pick out the sounds they want to hear, like speech in a noisy room.
The challenge: these models have to run in real time on our power-constrained hearing devices used by millions of people.
Are you curious to explore these uncharted territories?
- At Sonova R&D, we develop deep learning algorithms that help people pick out the sounds they want to hear, like speech in a noisy room.
- The challenge: these models have to run in real time on our power-constrained hearing devices used by millions of people.
Application process
- Training state-of-the-art deep learning models for hearing applications that provide optimal quality and efficiency on our embedded device platforms
- Collaborate closely with adjacent teams to integrate deep learning models into the signal processing chain effectively while understanding their impact on overall hearing device performance
- Develop code in a collaborative environment supporting CI/CD workflows
- Contribute building our DNN training and development software toolchain
- Evaluate model behavior on-device taking into account all relevant boundary conditions and system implications
- Taking end-to-end ownership of deep learning projects from idea to product deliverable and provide guidance in technical discussions and code reviews More about you
- Master’s or PhD degree in computer science, electrical engineering, or related technical discipline
- 2+ years of experience in deep learning
Additional details
- If that speaks to you, we are looking for you, as our new colleague and deep learning engineer. More about the role
- Taking end-to-end ownership of deep learning projects from idea to product deliverable and provide guidance in technical discussions and code reviews
- Education in audio or speech processing, and understanding of edge computing/low-power computation and embedded systems is a plus More about what we offer:
Notes and original content
- If that speaks to you, we are looking for you, as our new colleague and deep learning engineer.
- More about the role
- More about you
- Education in audio or speech processing, and understanding of edge computing/low-power computation and embedded systems is a plus
- More about what we offer:
Questions about this listing
What salary does Sonova offer for this role?
Sonova lists CHF 73'500 - 111'500 gross per year for this position in Staefa. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Sonova offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Sonova during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Sonova?
Use the "Apply now" button on this page — it links directly to Sonova's original listing at jobs.sonova.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
