Want to get hired at OpenAI?

Distributed Systems Engineer

OpenAI

HybridHybrid

Original Job Summary

Overview

OpenAI is pushing artificial intelligence to an unprecedented scale. We operate one of the largest GPU clusters in the world while safeguarding our massive compute footprint. As a Distributed Systems Engineer focused on security, you will build large-scale, production-grade distributed systems to secure our infrastructure.

What You Will Do

  • Work across Go, Python, and Rust stacks.
  • Build infrastructure and primitives to secure bare metal and cloud environments.
  • Profile, optimize, and design systems for scale and stability.
  • Collaborate with engineers, developers, and security advisers.

What You Bring

  • Experience designing and operating large-scale distributed systems.
  • Strong software engineering skills in Python, Go, and/or Rust.
  • Ability to balance security, reliability, usability, and performance tradeoffs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We emphasize safety and inclusivity while driving transformative technological advances.

Key Skills/Competency

  • Distributed Systems
  • Security
  • Python
  • Go
  • Rust
  • Infrastructure
  • Scalability
  • Optimization
  • Debugging
  • Cloud & Bare Metal

How to Get Hired at OpenAI

🎯 Tips for Getting Hired

  • Customize your resume: Highlight distributed systems and security experience.
  • Review OpenAI values: Understand their AI mission and culture.
  • Showcase technical skills: Emphasize proficiency in Go, Python, Rust.
  • Prepare for interviews: Practice system design and troubleshooting scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review distributed system design patterns.
Practice coding in Go, Python, and Rust.
Study cloud and bare metal security protocols.
Analyze performance optimization techniques.

Behavioral Questions

Describe a challenging system design experience.
Explain collaboration under tight deadlines.
Discuss a time you solved a security issue.
Illustrate handling tradeoffs in system performance.