Software engineer, data acquisition

Job description:

- At Soniox, our mission is to make voice universally accessible and programmable in real-time. Our models depend on vast, diverse, and high-quality datasets to train state-of-the-art AI systems across languages and domains. As a software engineer working on data acquisition, you will lead the development of scalable infrastructure for acquiring, indexing, and managing data at massive scale — powering the next generation of speech and language models.

- Design, build, and scale systems for web crawling, large-scale data ingestion, and content indexing.

- Work closely with data processing and model training teams to ensure smooth and efficient data pipelines.

- Own backend infrastructure for storage, indexing, and search across multi-petabyte datasets.

- Architect distributed systems that are robust, performant, and optimized for research and production workloads.

- Deploy and operate services in a Kubernetes environment using Infrastructure-as-Code.

- Analyze system performance and data coverage through experimentation and instrumentation.

Requirements:

- Have 6+ years of experience building large-scale software systems.

- Have deep knowledge of distributed systems, web crawling, and backend engineering.

- Are comfortable with key-value stores, data synchronization, and scalable storage systems.

- Are pragmatic and curious — unafraid to try new tools and rethink old assumptions.

- Communicate clearly and proactively, especially across cross-functional teams.

- Care about building infrastructure that directly powers real-world AI systems.

We offer:

- You’ll help build one of the most technically advanced AI platforms in the world — and shape how it reaches and supports users globally.

- You’ll work directly with a world-class team of engineers and researchers solving frontier problems in speech and language AI.

- You'll have a voice in how our company grows, how our customers succeed, and how AI transforms human communication.