Software Engineer, Data Acquisition
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams.
What this role actually needs.
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. Responsibilities: - Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. - Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. - Work closely with the legal team to handle any compliance or data privacy-related matters. - Develop and deploy highly scalable distributed systems capable of handling petabytes of data. - Architect and implement algorithms for data indexing and search capabilities. - Build and maintain backend services for data storage, including work with key-value databases and synchronization. Requirements: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in software development. - Experience with large web crawlers a plus - Strong expertise in large stateful distributed systems and data processing. - Proficiency in Kubernetes, and Infrastructure-as-Code concepts. - Willingness and enthusiasm for trying new approaches and technologies. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Software Engineer, Data Acquisition role.
- Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search.
- Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
- Work closely with the legal team to handle any compliance or data privacy-related matters.
- Develop and deploy highly scalable distributed systems capable of handling petabytes of data.
- Architect and implement algorithms for data indexing and search capabilities.
- Build and maintain backend services for data storage, including work with key-value databases and synchronization.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- BS/MS/PhD in Computer Science or a related field.
- 4+ years of industry experience in software development.
- Experience with large web crawlers a plus
- Strong expertise in large stateful distributed systems and data processing.
- Proficiency in Kubernetes, and Infrastructure-as-Code concepts.
- Willingness and enthusiasm for trying new approaches and technologies.
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Source: jobs.ashbyhq.com · Source ID: 41d9d129-2e58-4ad3-be81-2e5096f4da4d · Confidence: 97/100 · Last checked: May 7, 2026
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