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Software Development

Software Engineer - Data Aquisition (systems)

OpenAI · San Francisco · full-time

Software Developmentfull-timeSan Francisco$295K – $536K
ResearchFoundations
RemoteJobs editorial overview

Strategic Overview

Software Engineer - Data Aquisition (systems) at OpenAI is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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.

The role is listed for San Francisco with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Research, Foundations.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationSan Francisco
Employmentfull-time
Salary$295K – $536K
PostedJul 27, 2026
Last seenOct 25, 2026
Role context

About This Role

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.

What the role delivers

Key Responsibilities & Objectives

  • 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.
  • Build software and automation that reduce manual operational work and improve system reliability.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Experience with PXE boot, cluster provisioning, bare-metal infrastructure, or large-scale fleet management.
  • Experience with infrastructure-as-code, CI/CD, observability, or deployment automation.
  • Experience with Git-based workflows and internal developer tooling.
Additional fit signals

Preferred Qualifications

  • Experience with PXE boot, cluster provisioning, bare-metal infrastructure, or large-scale fleet management.
  • Experience operating Kubernetes or similar orchestration systems at scale.
  • Experience with infrastructure-as-code, CI/CD, observability, or deployment automation.
Compensation & benefits

Salary & Benefits

Published compensation: $295K – $536K

Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.

This job$295K – $536K
Current market range$86 – $625,000
Comparable jobs497

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

You might thrive in this role if you:

  • Have strong systems fundamentals and understand how infrastructure scales in practice.

  • Are comfortable with Linux, networking, Kubernetes, provisioning, and distributed systems operations.

  • Can write software to automate, debug, and improve infrastructure systems.

  • Have a strong execution mindset and can independently drive ambiguous infrastructure work.

  • Enjoy supporting a wide surface area of systems, from research tooling to platform services.

  • Are pragmatic about when to build custom systems versus using existing, well-supported tools.

  • Care about building reliable systems that make researchers faster and reduce operational friction.

Nice to have:

  • Experience with PXE boot, cluster provisioning, bare-metal infrastructure, or large-scale fleet management.

  • Experience operating Kubernetes or similar orchestration systems at scale.

  • Experience with infrastructure-as-code, CI/CD, observability, or deployment automation.

  • Experience supporting search infrastructure, data platforms, ingest systems, or large-scale research workflows.

  • Experience with Git-based workflows and internal developer tooling.

  • Prior experience in environments where reliability, scale, and speed all matter.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches Research, Foundations. Its strongest career signal is the scope of the work itself — particularly Build and operate reliable infrastructure for research workloads and research-facing services. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Research, Foundations, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyashby

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.