Software Engineer, Data Infrastructure & Acquisition - Austin, TX, USA

The Software Engineer, Data Infrastructure & Acquisition is responsible for managing and expanding the data collection systems that support AI model training. This role ensures the development and maintenance of large-scale, cost-effective datasets through collaboration with infrastructure, engineering, and research teams. The position plays a critical role in advancing the quality and scale of data to power next-generation consumer and enterprise products, directly impacting the organization's AI capabilities and product innovation.

3. Responsibilities:

• Identify and source new audio data for ingestion pipelines

• Maintain and expand cloud infrastructure for data pipelines using GCP and Terraform

• Work with scientists to improve data cost efficiency, throughput, and quality

• Collaborate with the AI team and leadership to develop the dataset roadmap for AI projects

• BS/MS/PhD in Computer Science or related field

• 5+ years of software development experience

• Proficiency with bash and Python scripting in Linux environments

• Experience with Docker, Infrastructure-as-Code, and major cloud providers (GCP preferred)

• Familiarity with web crawlers and large-scale data processing workflows is a plus

• Ability to manage multiple priorities and adapt to change

• Strong written and verbal communication skills

• The United States base salary range for this full-time position is $140,000-$200,000 plus bonus and equity, depending on experience

The organization operates in the text-to-speech technology space, addressing the challenge that reading can be a barrier to learning for many individuals. Its products convert various reading materials including PDFs, books, and websites into audio, enabling users to read faster, retain more information, and access content more easily. The organization's text-to-speech tools are available across multiple platforms such as iOS, Android, Mac, Chrome, and web apps. It serves over 50 million users worldwide and has received industry recognition for its inclusivity and design. The team is fully distributed, consisting of around 200 professionals globally, including engineers, AI researchers, and experts from notable technology companies and academic institutions.