Software Engineer, Data Infrastructure & Acquisition - Santiago, Chile

Role overview A distributed AI company building text-to-speech products is hiring a Software Engineer to lead audio data acquisition for its training pipeline. The role sits at the intersection of infrastructure, engineering, and research, producing petabyte-scale datasets at low cost. Work is remote-first with teammates across many time zones.

Responsibilities - Track down new audio data sources and integrate them into the ingestion pipeline - Operate and grow the GCP ingestion infrastructure orchestrated via Terraform - Collaborate with research scientists to continuously improve cost, throughput, and dataset quality - Contribute to the dataset roadmap alongside AI leadership to guide future product directions - Develop reusable tooling for data onboarding, validation, and pipeline reliability

Requirements - BS, MS, or PhD in Computer Science or a related discipline - 5+ years of industry software engineering experience - Proficiency in bash and Python on Linux - Hands-on experience with Docker, Infrastructure-as-Code, and a major cloud provider, ideally GCP - Ability to balance multiple priorities in a fast-changing environment - Strong written and verbal communication for async collaboration

Nice to have - Experience with web crawlers or large-scale data processing pipelines

Benefits and work setup - 100% remote with a global, distributed team - Asynchronous culture and a hands-off management approach - Entrepreneurial environment encouraging initiative and ownership - Competitive compensation and a chance to ship a product serving millions, including users with dyslexia, ADHD, low vision, concussions, autism, and other learning differences