Software Engineer, Data Infrastructure & Acquisition - Pittsburgh, PA, USA

Role overview A distributed team focused on AI-driven text-to-speech is hiring a Software Engineer to own the data pipeline that fuels its model training operations. The role sits at the intersection of infrastructure engineering, data acquisition, and applied research, with the goal of building high-quality training datasets at petabyte scale while keeping cost and throughput balanced. Based in Pittsburgh, PA, the position supports next-generation consumer and enterprise products.

Responsibilities - Discover and integrate new audio data sources into the ingestion pipeline using a scrappy, experimental approach. - Operate and extend cloud infrastructure that runs on GCP, managed through Terraform and Infrastructure-as-Code practices. - Work with research scientists to push the cost, throughput, and quality frontier, enabling richer data at larger scale. - Partner with the broader AI team and leadership to shape the dataset roadmap for upcoming product generations. - Handle multiple concurrent workstreams and adapt quickly as priorities shift across ingestion and training needs.

Requirements - BS, MS, or PhD in Computer Science or a closely related discipline. - 5+ years of professional software development experience. - Strong proficiency in bash and Python scripting within Linux environments. - Hands-on experience with Docker and Infrastructure-as-Code concepts on at least one major cloud provider (GCP experience preferred). - Strong written and verbal communication skills.

Nice to have - Background in web crawlers and large-scale data processing workflows.

Benefits and work setup - Fully remote, distributed team with no physical office; asynchronous-first culture. - Hands-off management style that emphasizes ownership and focus. - Entrepreneurial environment that encourages calculated risk-taking. - Competitive base salary of $140,000-$200,000 plus bonus and equity, depending on experience. - Opportunity to ship a product used by millions, including readers with dyslexia, ADD, low vision, concussions, autism, and other learning differences. - Work at the intersection of AI and audio, one of the fastest-growing areas in tech.