Software Engineer, AI Data Platform @ OpenAI
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About The Team
The Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. They innovate on the infrastructure needed to serve the latest models and agentic workflows, delivering high performance and reliability.
About The Role
This role focuses on designing and deploying services and infrastructure that empower models and agents to generate insights and execute tasks. You will define data access patterns, own the full lifecycle from architecture to production operations, and participate in on-call responsibilities.
Key Responsibilities
- Design, build, and maintain data infrastructure and networking systems.
- Develop secure and compliant systems for processing sensitive data.
- Ensure scalability and reliability of the data platform.
- Integrate authentication and data access with production systems.
- Collaborate with cross-functional teams for production system deployment.
- Participate in on-call rotations and ensure system reliability.
What You Bring
- Expertise in deploying and managing software systems within enterprise infrastructures.
- A passion for leveraging AGI to transform infrastructure.
- Comfort with ambiguity and rapid changes.
- A proactive learning attitude and strong communication skills.
About OpenAI
OpenAI is dedicated to deploying artificial intelligence to benefit all of humanity. The company pushes the boundaries of AI systems and is committed to safety, diversity, and inclusion.
Additional Information
This position offers competitive compensation ($255K - $405K) and requires access to secure and sensitive information technology systems.
Key skills/competency
Data Infrastructure, Networking, Security, Scalability, Compliance, Enterprise Data Management, On-call, Authentication, Cross-functional Collaboration, Production Operations
How to Get Hired at OpenAI
🎯 Tips for Getting Hired
- Research OpenAI's culture: Understand their mission and AI innovations.
- Customize your resume: Highlight data infrastructure experience and reliability.
- Prepare real examples: Demonstrate enterprise system deployments.
- Study technical fundamentals: Focus on security and scalable design principles.