Software Engineer, Data Infrastructure – Research

🕒 September 22, 2025

🏢🏡 San Francisco – Hybrid

💵 $250k - $380k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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OpenAI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.

📋 Description

• Design and maintain standardized dataset APIs, including for multimodal data that cannot fit in memory • Build proactive testing and scale validation pipelines for dataset loading at GPU scale • Integrate datasets into training and inference pipelines, collaborating with multimodal researchers and infra teams • Document and maintain dataset interfaces for discoverability and consistent adoption • Establish safeguards and validation systems to ensure reproducibility of standardized datasets • Debug and resolve performance bottlenecks in distributed dataset loading (e.g., stragglers) • Provide visualization and inspection tools to surface errors, bugs, or bottlenecks • Work on LLM training and inference infrastructure to support massive-scale GPU/accelerator fleets

🎯 Requirements

• Strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure • Experience building APIs, modular code, and scalable abstractions with attention to UX • Comfortable debugging bottlenecks across large fleets of machines • Collaborative, humble, and able to own foundational ML infrastructure • Bonus: background in data math, probability, or distributed data theory • Bonus: experience with GPU-scale distributed systems or dataset scaling for real-time data

🏖️ Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) • 401(k) retirement plan with employer match • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees • 13+ paid company holidays and multiple paid coordinated company office closures, plus paid sick or safe time • Mental health and wellness support • Employer-paid basic life and disability coverage • Annual learning and development stipend • Daily meals in our offices, and meal delivery credits as eligible • Relocation support for eligible employees • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends