Software Engineer, Data Infrastructure - Research

Responsibilities

• Design and maintain standardized dataset APIs, including for multimodal data that exceeds memory capacity
• Build proactive testing and scale validation pipelines for dataset loading at GPU scale
• Collaborate with researchers to integrate datasets seamlessly into training and inference pipelines
• Document dataset interfaces to ensure they are discoverable, consistent, and easy to adopt
• Establish safeguards and validation systems to ensure dataset reproducibility
• Debug and resolve performance bottlenecks in distributed dataset loading across large machine fleets
• Provide visualization and inspection tools to surface errors or bottlenecks in datasets

Requirements

• Strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure
• Experience building APIs, modular code, and scalable abstractions
• Proven ability to debug performance bottlenecks across large fleets of machines
• Experience with infrastructure design and data pipeline engineering

Preferred Qualifications

• Background knowledge in data math, probability, or distributed data theory
• Experience working with GPU-scale distributed systems or dataset scaling for real-time data

Benefits

• Competitive salary ($250K – $380K) and generous equity
• Medical, dental, and vision insurance for you and your family
• 401(k) retirement plan with employer match
• Paid parental leave and flexible PTO
• Daily meals in the office and meal delivery credits
• Annual learning and development stipend
• Relocation support for eligible employees

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.