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OpenAI

Software Engineer - Data Aquisition (systems)

San Francisco$255k–$405kfulltimemidAdded today

About this role

Join OpenAI's infrastructure team to build and operate systems that power frontier research. You'll work on reliable, scalable infrastructure spanning networking, Kubernetes, provisioning, and observability—combining systems expertise with software engineering to support researchers at scale.

What you'll do

  • Build and operate reliable infrastructure for research workloads and research-facing services
  • Support systems across data infrastructure, processing, caching, search, observability, and cluster-wide services
  • Improve cluster bootstrapping, provisioning, automation, and deployment workflows
  • Debug and resolve issues across networking, compute, storage, orchestration, and service reliability layers
  • Build software and automation to reduce manual operational work and improve system reliability
  • Partner with researchers and infrastructure teams to translate system needs into durable solutions

What they're looking for

  • Linux and systems administration
  • Kubernetes and container orchestration
  • Networking fundamentals and troubleshooting
  • Infrastructure automation and provisioning
  • Software engineering for infrastructure systems
  • Distributed systems operations and reliability
  • Bare-metal infrastructure and fleet management
  • Observability and monitoring systems
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Describe a complex infrastructure issue you debugged across multiple layers—what was your systematic approach?
  • Walk us through how you've designed provisioning or bootstrapping automation and what trade-offs you made.
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