Software Engineer
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Company
Neuphonic is building the future of on-device voice AI.
We develop ultra-low-latency neural text-to-speech systems that enable super-realistic, human-like speech directly on devices. Our focus is on building efficient generative audio models and infrastructure that can run on CPU-constrained hardware, enabling real-time voice interaction without relying on large cloud infrastructure.
By dramatically reducing latency and compute requirements, we are making natural conversational AI possible on phones, embedded devices, browsers, and edge systems. This requires building high-performance systems that bridge machine learning, real-time audio processing, and distributed infrastructure.
Neuphonic was founded in April 2024 and is backed by leading B2B venture capital firms in Europe. Our customers include OEM handset manufacturers, chip manufacturers, and consumer AI companies building the next generation of voice-enabled products.
Our vision is a world where voice becomes the most natural interface for AI, enabling seamless, intuitive interactions that are accessible to everyone.
We’re solving challenging problems across real-time machine learning, edge inference, streaming systems, and ultra-low-latency infrastructure. If you enjoy working on systems where milliseconds matter and performance constraints are real, you’ll feel at home here.
To understand the technology you would be working on, please review our Hugging Face and GitHub repositories, as they will be part of the interview discussion:
- https://huggingface.co/neuphonic
- https://github.com/neuphonic
Role
We’re looking for a software / embedded engineer to help build and scale the infrastructure behind our ultra-low-latency speech systems.
This role sits at the intersection of cloud infrastructure and on-device deployment. You’ll work on the APIs and backend systems that power our platform, while also helping deploy and optimise our machine learning models on resource-constrained devices.
You’ll contribute to:
- Building and scaling our API and cloud infrastructure
- Designing developer-friendly APIs for ultra-low-latency speech systems
You’ll be working with a top-tier team who will mentor and support you as you grow, while collaborating closely with researchers and engineers across the company.
You have
- Strong software engineering fundamentals
- Prior industry experience as a software engineer (this is not a graduate-level role)
- Experience with C++ and edge device deployment
- Experience building or working with APIs and backend systems
- Familiarity with cloud platforms (ideally GCP)
- Interest in high-performance systems, audio, or ML deployment
- A Bachelor’s degree or above from a top university (or equivalent experience)
Benefits
- Help us set the company culture - you’d be joining us as part of our founding team. Help us set and guide the company culture! Whether it’s breakfasts, reading groups or games nights. Give us your ideas and we’ll make it happen together.