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Software Engineer, Hardware Health

OpenAISan Francisco, United StatesFull-timeSalary not listed · Typical pay in United StatesPosted Nov 9, 2026

OpenAI has an opening for a Software Engineer, Hardware Health in San Francisco, United States. It is listed as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

OpenAI has an opening for a Software Engineer, Hardware Health in San Francisco, United States. It is listed as a full-time position.

Reading the advert, the employer asks for 7+ years of experience.

Skills and tools named in the text include Python, SQL, Linux and observability.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

Benefits mentioned in the advert: bonus.

The advert does not mention visa sponsorship. If you would move to United States for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on Ashby on Nov 9, 2026.

Employer
OpenAI
Location
San Francisco, United States
Job type
Full-time
Pay
Not stated by the employer
Experience asked
7+ years
Found
Nov 9, 2026 on Ashby
Employer text
770 words, about 4 min to read
Skills named in the advert
PythonSQLLinuxobservability
Before you apply
  • Apply only on the official page (jobs.ashbyhq.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 7+ years the advert asks for, and show it clearly near the top of your CV.
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Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 12, 2026
Pay benchmark
Average wage, United States
$86,977 average / year

Source: OECD Average annual wages, 2025

Work permit route
  • H-1B specialty occupation: Employer petition, bachelor's degree or higher in the specialty; annual cap and lottery
  • L-1 intracompany transferee: Employees of a related company abroad transferring to a US office
  • O-1 extraordinary ability: Evidence of extraordinary ability in sciences, arts, education, business or athletics

Official routes: USCIS

Job description

About the role

Full text from the employer, as published on Ashby, arranged into sections. Nothing added or removed.

01ABOUT THE TEAM

The Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet.

Our mission is to maximize healthy, usable compute across accelerator vendors, generations, cloud providers, and regions through reliable health signals, automated remediation, and scalable operational tooling.

We build the systems that observe, detect, remediate, and verify hardware issues across GPUs, CPUs, networking, and platform infrastructure, enabling frontier model training and inference workloads to run reliably at hyperscale. We are the last line of defense for the success of OAI’s production and research workloads.

02ABOUT THE ROLE

On the Hardware Health and Observability team, you’ll build critical infrastructure that keeps OpenAI’s largest compute clusters healthy and operational at scale.

Even small numbers of unhealthy systems can impact large-scale training and inference workloads. This team focuses on minimizing downtime, improving fleet efficiency, and ensuring compute resources remain continuously available to researchers and product teams.

Engineers on this team own problems end-to-end, from defining health signals and debugging failures to building automated remediation systems that operate across millions of GPUs globally.

In this role, you will:

  • Define and maintain health signals across GPUs, CPUs, networking, and platform infrastructure.
  • Build and evolve health checks that detect, remediate, and verify failures at scale.
  • Ensure critical health checks execute with minimal latency to maximize workload uptime.
  • Investigate hardware failures and system-level issues across large-scale compute environments.
  • Own node lifecycle workflows including drain, quarantine, repair, RMA, and return-to-service processes.
  • Build automation and tooling that enables global cluster management with minimal manual intervention.
  • Partner with workload, reliability, and provider teams to integrate health signals into training and inference systems.

03YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE

  • 7+ years of industry experience in software or infrastructure engineering.
  • Strong proficiency with Python and shell scripting.
  • Experience building large-scale distributed systems or infrastructure platforms.
  • Comfort digging into noisy operational data using SQL, PromQL, or similar tooling.
  • Experience building reproducible analyses and operational tooling.
  • Strong systems debugging and operational instincts with an ownership mindset.

04BONUS IF YOU HAVE

  • Experience with low-level hardware systems and Linux tooling (e.g. PCIe, InfiniBand, RoCE, networking, power management, kernel performance tuning, FW/SW debugging).
  • Experience operating or debugging large-scale GPU or accelerator clusters.
  • Expertise in network operations, observability, or systems telemetry.
  • Experience with automated remediation systems or fleet lifecycle management.
  • Experience improving reliability, utilization, or workload uptime in distributed compute environments.

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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.

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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

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.

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