Software Engineer, Data Infrastructure & Acquisition - Chapel Hill, NC, USA

Role overview The position focuses on data acquisition and infrastructure for an AI team behind a widely used text-to-speech reading product available across major platforms. The engineer will help the team build petabyte-scale training datasets cheaply and reliably by combining infrastructure engineering with research-driven data sourcing decisions.

Responsibilities - Hunt down new audio data sources and integrate them into the existing ingestion pipeline. - Maintain and grow the GCP-based cloud environment that powers ingestion, using Terraform for infrastructure management. - Work side-by-side with research scientists to optimize cost, throughput, and quality for the next wave of models. - Co-author the dataset roadmap with AI team leadership, aligning research output with consumer and enterprise product goals. - Stay flexible as priorities shift between research, infrastructure reliability, and pipeline throughput.

Requirements - BS, MS, or PhD in Computer Science or a related field. - 5+ years of professional software development experience. - Proficiency in bash and Python scripting on Linux. - Production experience with Docker, infrastructure-as-code tooling, and a major cloud platform (GCP is the primary one in use). - Strong communication skills, written and verbal.

Nice to have - Hands-on experience with web crawlers or other large-scale data processing workflows.

Benefits and work setup - Fully remote, distributed team with no central office and an emphasis on an asynchronous work culture. - Light-touch management that prioritizes focused, independent work. - US base salary range of $140,000–$200,000, plus bonus and equity, depending on experience. - Chance to contribute to accessibility products that support users with dyslexia, ADHD, low vision, concussions, autism, and similar challenges.