Student Software Engineering

For this position we are looking for students or recent graduates in Zürich
, working hybrid at the ETH Student Project House (SPH) and remotely.

Nairon GmbH is a Swiss startup building AI voice agents that answer and make phone calls for businesses. Our platform runs real-time conversations over the phone and on the web, connected to our customers' telephony and business tools. We value clear communication, thoughtful engineering, and a collaborative approach to problem-solving. Join us as we continue to develop tools that make a difference.

We are looking for a Working Student (30–60%) who wants to work on real production systems next to their studies. We are flexible on the duration of the employment.

As a Working Student at Nairon GmbH, you will work with our team on one or more of these areas, depending on your interests and skills:

• Voice AI: turn-taking, latency measurements, LLM prompting and tool calls, and evaluating speech models (STT and TTS).
• Voice model training: training foundational speech models (TTS and STT) on GPUs: data collection and preparation, training runs, fine-tuning for German and Swiss-German voices, and evaluation.
• Realtime backend: Python services around our Live Kit-based media platform, messaging and integrations with customer systems.
• Web and mobile: features in our Next.js / React / Type Script web application and our Expo / React Native app.
• Platform: Docker, Kubernetes, monitoring and the tooling that keeps our services running.
• Commercial and tech sales: preparing demos and pilot agents, answering customers' technical questions, market and competitor research, and supporting offers and partner conversations.
• Building test calls, benchmarks and small internal tools, and writing down what you learn.

Experience:

Currently enrolled at ETH Zürich or another university or Fachhochschule, or graduated recently, in computer science, electrical engineering, data science, business and engineering (e.g. MTEC, Wirtschaftsingenieurwesen) or a related field. First project or work experience is a plus, not a must.

Technical

Skills:

Required:

• Programming in Python or Type Script; for the engineering areas, good fundamentals in Git, APIs and debugging.
• For commercial work: a solid technical understanding and the ability to explain technology to customers.

Nice to have:

• Experience with LLMs, speech or audio processing, or machine learning.
• Deep learning with PyTorch, training on GPUs, or a related thesis or research project.
• Next.js, React or mobile development.
• Docker, Linux or cloud platforms.
• Interest in sales, business development or startups.

Communication:

English proficiency is essential
, both written and spoken, as it is the working language for all positions.

German is a plus, and important for customer-facing work.

Soft Skills:

• Curious, quick to learn and able to work independently.
• Reliable with the hours you commit to, next to your studies.

• Flexible Work Setup: Hybrid: work at the ETH Student Project House in Zürich and remotely, around your study schedule.
• Equipment Provided: Company laptop provided.
• Collaborative Environment: Join a small, agile team where your contributions go into production.
• Growth Opportunities: Real experience in AI voice technology and in building a startup, with the possibility of a thesis topic or a full-time role in engineering or sales after your studies.