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Software Engineer, Data Infrastructure - Research

Build standardized, scalable dataset APIs for multimodal AI training infrastructure
San Francisco, California, United States
Senior
$250,000 – 380,000 USD / year
23 hours agoBe an early applicant
OpenAI

OpenAI

An artificial intelligence research lab focused on developing advanced AI technologies and promoting safe AI practices.

About the Role

We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI's next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume.

In this role, you will:

  • Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory.
  • Build proactive testing and scale validation pipelines for dataset loading at GPU scale.
  • Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience.
  • Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt.
  • Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized.
  • Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training).
  • Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets.

You might thrive in this role if you:

  • Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure.
  • Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design.
  • Are comfortable debugging bottlenecks across large fleets of machines.
  • Take pride in building infrastructure that "just works," and find joy in being the guardian of reliability and scale.
  • Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack.

Bonus points if you:

  • Have background knowledge in data math, probability, or distributed data theory.
  • Have worked with GPU-scale distributed systems or dataset scaling for real-time data

About OpenAI

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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Software Engineer, Data Infrastructure - Research
San Francisco, California, United States
$250,000 – 380,000 USD / year
Engineering
About OpenAI
An artificial intelligence research lab focused on developing advanced AI technologies and promoting safe AI practices.