Software Engineer, Infrastructure - Analytics

AI research and deployment company dedicated to ensuring general-purpose artificial intelligence benefits humanity
$310,000 - $460,000
Backend
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI

Description For Software Engineer, Infrastructure - Analytics

OpenAI is seeking a Senior Software Engineer to join their Scaling team, focusing on Infrastructure Analytics. This role is crucial in designing and building core systems that researchers rely on at OpenAI. The position offers a competitive salary range of $310K – $460K plus equity, and is based in San Francisco with a hybrid work model (3 days in office).

The Scaling team's mission is to accelerate research progress towards AGI by building and maintaining critical infrastructure. As a Software Engineer in this role, you'll be working on distributed systems, data processing infrastructure, and operational excellence. You'll develop foundational backend services that power key OpenAI's research workflows, spanning observability, analytics, and performance engineering.

The ideal candidate should have strong expertise in Python/Rust and backend development, with significant experience in distributed systems and data processing infrastructure. Knowledge of technologies like Kafka, Spark, Trino/Presto, and Iceberg is valuable. The role requires hands-on experience with Kubernetes and familiarity with infrastructure tools like Terraform and Helm.

OpenAI offers a unique opportunity to work at the forefront of AI development, in an environment that values safety and human needs at its core. The company provides competitive compensation, equity, and relocation assistance. They are committed to diversity and equal opportunity employment, welcoming applications from all backgrounds.

This role is perfect for someone who thrives in fast-moving environments, enjoys building systems that empower others, and wants to contribute to OpenAI's mission of ensuring general-purpose artificial intelligence benefits all of humanity. The position combines technical challenges with meaningful impact, as you'll be directly supporting the infrastructure that enables cutting-edge AI research.

Last updated 2 hours ago

Responsibilities For Software Engineer, Infrastructure - Analytics

  • Design, build, and operate scalable backend systems for ML research workflows
  • Develop reliable infrastructure for streaming and batch data processing
  • Create internal-facing tools and applications
  • Debug and improve performance of services running on Kubernetes
  • Collaborate with engineers and researchers
  • Participate in on-call rotation and respond to critical incidents

Requirements For Software Engineer, Infrastructure - Analytics

Python
Rust
Kubernetes
Kafka
  • Strong proficiency in Python/Rust and backend software development
  • Experience with distributed systems and scalable data processing infrastructure
  • Hands-on experience operating services in Kubernetes
  • Familiarity with tools like Terraform and Helm
  • Ability to work across the stack
  • Focus on building user-friendly systems
  • Curiosity and adaptability in fast-changing environments

Benefits For Software Engineer, Infrastructure - Analytics

Equity
Relocation Benefits
  • Equity
  • Relocation Benefits

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