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Software Engineer - Data Aquisition (systems)

OpenAI

Software Engineer - Data Aquisition (systems) is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $295k–$536k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$295k–$536k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

ABOUT THE TEAM This team builds and operates the systems that enable OpenAI researchers to run reliable, scalable, and efficient research workflows.

  • Function: Research
  • Seniority: mid
  • kubernetes

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $295k–$536k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT THE TEAM This team builds and operates the systems that enable OpenAI researchers to run reliable, scalable, and efficient research workflows. The team sits close to research and works across infrastructure, systems, and automation to make sure researchers have the tools and environments they need to move quickly. The work spans software engineering, infrastructure, systems administration, cluster operations, and reliability engineering. As OpenAI’s infrastructure evolves from bespoke bare-metal systems toward more standard, scalable platforms, the team needs engineers who can understand how systems work end-to-end and build the right abstractions without reinventing the wheel.   ABOUT THE ROLE As a Software Engineer on this team, you will build and operate the infrastructure that supports frontier research and critical research-facing systems. You will work on systems that sit close to the metal, but the role is not limited to classic operations or sysadmin work. We are looking for someone who can reason about networking, bootstrapping, Kubernetes, scalability, automation, and reliability - while also writing software to make these systems better over time. This role is a strong fit for an independent, high-ownership engineer who enjoys reliability-heavy infrastructure work but still wants to build. You do not need to come in as a kernel expert or highly algorithmic optimization engineer, but you should be deeply curious about infrastructure, comfortable debugging complex systems, and excited to support researchers doing novel work.   WE EXPECT YOU TO: - Build and operate reliable infrastructure for research workloads and research-facing services. - Support and improve systems across data infrastructure, processing, crawl and ingest, caching, search, observability, and clusterwide services. - Improve cluster bootstrapping, provisioning, automation, and deployment workflows. - Debug issues across networking, compute, storage, orchestration, and service reliability layers. - Build software and automation that reduce manual operational work and improve system reliability. - Partner closely with researchers, infrastructure engineers, and service owners to understand system needs and translate them into durable solutions. - Help evolve existing infrastructure toward more scalable, maintainable, and standard patterns. - Take ownership of critical systems and drive work independently from problem definition through execution.  

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